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- README.md +72 -69
- checkpoint-100/README.md +202 -0
- checkpoint-100/adapter_config.json +36 -0
- checkpoint-100/adapter_model.safetensors +3 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/special_tokens_map.json +29 -0
- checkpoint-100/tokenizer.json +0 -0
- checkpoint-100/tokenizer.model +3 -0
- checkpoint-100/tokenizer_config.json +50 -0
- checkpoint-100/trainer_state.json +114 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-1000/README.md +202 -0
- checkpoint-1000/adapter_config.json +36 -0
- checkpoint-1000/adapter_model.safetensors +3 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +29 -0
- checkpoint-1000/tokenizer.json +0 -0
- checkpoint-1000/tokenizer.model +3 -0
- checkpoint-1000/tokenizer_config.json +50 -0
- checkpoint-1000/trainer_state.json +951 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1100/README.md +202 -0
- checkpoint-1100/adapter_config.json +36 -0
- checkpoint-1100/adapter_model.safetensors +3 -0
- checkpoint-1100/optimizer.pt +3 -0
- checkpoint-1100/rng_state.pth +3 -0
- checkpoint-1100/scheduler.pt +3 -0
- checkpoint-1100/special_tokens_map.json +29 -0
- checkpoint-1100/tokenizer.json +0 -0
- checkpoint-1100/tokenizer.model +3 -0
- checkpoint-1100/tokenizer_config.json +50 -0
- checkpoint-1100/trainer_state.json +1044 -0
- checkpoint-1100/training_args.bin +3 -0
- checkpoint-1200/README.md +202 -0
- checkpoint-1200/adapter_config.json +36 -0
- checkpoint-1200/adapter_model.safetensors +3 -0
- checkpoint-1200/optimizer.pt +3 -0
- checkpoint-1200/rng_state.pth +3 -0
- checkpoint-1200/scheduler.pt +3 -0
- checkpoint-1200/special_tokens_map.json +29 -0
- checkpoint-1200/tokenizer.json +0 -0
- checkpoint-1200/tokenizer.model +3 -0
- checkpoint-1200/tokenizer_config.json +50 -0
- checkpoint-1200/trainer_state.json +1137 -0
- checkpoint-1200/training_args.bin +3 -0
- checkpoint-1300/README.md +202 -0
README.md
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---
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license: mit
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library_name:
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tags:
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- generated_from_trainer
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base_model: HuggingFaceH4/zephyr-7b-beta
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model-index:
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- name: WeniGPT-Agents-Zephyr-1.0.25-KTO
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results: []
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---
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should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
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It achieves the following results on the evaluation set:
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- Rewards/chosen: -195.8677
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- Rewards/rejected: -165.2624
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- Rewards/margins: -30.6053
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- Kl: 0.0
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- Logps/chosen: -2238.1643
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- Logps/rejected: -1890.7997
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##
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##
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- lr_scheduler_type:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/margins | Kl | Logps/chosen | Logps/rejected |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:---------------:|:---:|:------------:|:--------------:|
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| 0.6966 | 0.33 | 50 | 0.5063 | -13.4129 | -12.4081 | -1.0049 | 0.0 | -413.6161 | -362.2560 |
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| 0.754 | 0.66 | 100 | 0.5000 | -174.7515 | -145.9646 | -28.7869 | 0.0 | -2027.0018 | -1697.8218 |
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| 0.6274 | 0.99 | 150 | 0.5 | -195.8329 | -165.1599 | -30.6730 | 0.0 | -2237.8149 | -1889.7742 |
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| 0.642 | 1.32 | 200 | 0.5000 | -195.1430 | -164.6777 | -30.4653 | 0.0 | -2230.9163 | -1884.9520 |
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| 0.6241 | 1.65 | 250 | 0.5000 | -195.1471 | -164.6848 | -30.4623 | 0.0 | -2230.9573 | -1885.0226 |
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| 0.7477 | 1.98 | 300 | 0.5 | -195.8677 | -165.2624 | -30.6053 | 0.0 | -2238.1643 | -1890.7997 |
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| 0.8685 | 2.31 | 350 | 0.5 | -195.8568 | -165.2519 | -30.6049 | 0.0 | -2238.0549 | -1890.6946 |
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| 0.693 | 2.64 | 400 | 0.5 | -195.8341 | -165.2328 | -30.6013 | 0.0 | -2237.8274 | -1890.5028 |
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| 0.686 | 2.97 | 450 | 0.5 | -195.8235 | -165.2227 | -30.6008 | 0.0 | -2237.7224 | -1890.4027 |
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| 0.6119 | 3.3 | 500 | 0.5 | -195.8122 | -165.2139 | -30.5983 | 0.0 | -2237.6084 | -1890.3141 |
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| 0.5902 | 3.63 | 550 | 0.5 | -195.8078 | -165.2129 | -30.5949 | 0.0 | -2237.5649 | -1890.3043 |
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| 0.7106 | 3.96 | 600 | 0.5 | -196.2488 | -165.5701 | -30.6787 | 0.0 | -2241.9751 | -1893.8765 |
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| 0.8232 | 4.29 | 650 | 0.5 | -196.2429 | -165.5582 | -30.6847 | 0.0 | -2241.9155 | -1893.7571 |
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| 0.5881 | 4.62 | 700 | 0.5 | -197.1647 | -166.3029 | -30.8618 | 0.0 | -2251.1340 | -1901.2047 |
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| 0.6156 | 4.95 | 750 | 0.5 | -197.1416 | -166.2842 | -30.8573 | 0.0 | -2250.9023 | -1901.0179 |
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| 0.6291 | 5.28 | 800 | 0.5 | -197.1509 | -166.2928 | -30.8580 | 0.0 | -2250.9958 | -1901.1036 |
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| 0.6285 | 5.61 | 850 | 0.5 | -197.1602 | -166.2982 | -30.8620 | 0.0 | -2251.0884 | -1901.1571 |
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| 0.6918 | 5.94 | 900 | 0.5 | -197.1623 | -166.3002 | -30.8621 | 0.0 | -2251.1104 | -1901.1774 |
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| 0.7869 | 6.27 | 950 | 0.5 | -197.1630 | -166.3040 | -30.8591 | 0.0 | -2251.1169 | -1901.2148 |
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| 0.5483 | 6.6 | 1000 | 0.5 | -197.1648 | -166.2998 | -30.8650 | 0.0 | -2251.1345 | -1901.1730 |
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| 0.7744 | 6.93 | 1050 | 0.5 | -197.5333 | -166.5969 | -30.9364 | 0.0 | -2254.8201 | -1904.1442 |
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| 0.9077 | 7.26 | 1100 | 0.5 | -197.5402 | -166.6008 | -30.9394 | 0.0 | -2254.8884 | -1904.1827 |
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| 0.664 | 7.59 | 1150 | 0.5 | -197.2621 | -166.3788 | -30.8832 | 0.0 | -2252.1074 | -1901.9637 |
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| 0.6126 | 7.92 | 1200 | 0.5 | -197.2483 | -166.3705 | -30.8778 | 0.0 | -2251.9697 | -1901.8805 |
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| 0.8377 | 8.25 | 1250 | 0.5 | -197.1308 | -166.2760 | -30.8547 | 0.0 | -2250.7944 | -1900.9357 |
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| 0.6109 | 8.58 | 1300 | 0.5 | -197.1868 | -166.3199 | -30.8669 | 0.0 | -2251.3545 | -1901.3741 |
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| 0.7432 | 8.91 | 1350 | 0.5 | -197.2601 | -166.3793 | -30.8808 | 0.0 | -2252.0879 | -1901.9680 |
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| 0.8664 | 9.24 | 1400 | 0.5 | -197.1278 | -166.2694 | -30.8584 | 0.0 | -2250.7642 | -1900.8693 |
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| 0.7237 | 9.57 | 1450 | 0.5 | -197.125 | -166.2689 | -30.8561 | 0.0 | -2250.7366 | -1900.8641 |
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### Framework versions
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---
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license: mit
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library_name: "trl"
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tags:
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- KTO
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- WeniGPT
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base_model: HuggingFaceH4/zephyr-7b-beta
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model-index:
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- name: Weni/WeniGPT-Agents-Zephyr-1.0.25-KTO
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results: []
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language: ['pt']
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---
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# Weni/WeniGPT-Agents-Zephyr-1.0.25-KTO
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
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Description: Experiment with a new tokenizer configuration for chat template of zephyr
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It achieves the following results on the evaluation set:
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{'eval_loss': 0.5, 'eval_runtime': 169.8846, 'eval_samples_per_second': 2.06, 'eval_steps_per_second': 0.518, 'eval_rewards/chosen': -195.86773681640625, 'eval_rewards/rejected': -165.26242065429688, 'eval_rewards/margins': -30.605329513549805, 'eval_kl': 0.0, 'eval_logps/chosen': -2238.164306640625, 'eval_logps/rejected': -1890.7996826171875, 'epoch': 9.7}
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## Intended uses & limitations
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This model has not been trained to avoid specific intructions.
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## Training procedure
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Finetuning was done on the model HuggingFaceH4/zephyr-7b-beta with the following prompt:
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```
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---------------------
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System_prompt:
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Agora você se chama {name}, você é {occupation} e seu objetivo é {chatbot_goal}. O adjetivo que mais define a sua personalidade é {adjective} e você se comporta da seguinte forma:
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{instructions_formatted}
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Na sua memória você tem esse contexto:
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{context}
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Lista de requisitos:
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- Responda de forma natural, mas nunca fale sobre um assunto fora do contexto.
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- Nunca traga informações do seu próprio conhecimento.
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- Repito é crucial que você responda usando apenas informações do contexto.
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- Nunca mencione o contexto fornecido.
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- Nunca mencione a pergunta fornecida.
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- Gere a resposta mais útil possível para a pergunta usando informações do conexto acima.
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- Nunca elabore sobre o porque e como você fez a tarefa, apenas responda.
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---------------------
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Question:
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{question}
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---------------------
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Response:
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{answer}
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---------------------
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```
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- per_device_train_batch_size: 4
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- per_device_eval_batch_size: 4
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- gradient_accumulation_steps: 4
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- num_gpus: 1
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- total_train_batch_size: 16
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- optimizer: AdamW
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- lr_scheduler_type: cosine
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- num_steps: 1470
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- quantization_type: bitsandbytes
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- LoRA: ("\n - bits: 4\n - use_exllama: True\n - device_map: auto\n - use_cache: False\n - lora_r: 8\n - lora_alpha: 16\n - lora_dropout: 0.05\n - bias: none\n - target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj', 'gate_proj', 'up_proj', 'down_proj', 'lm_head', 'embed_tokens']\n - task_type: CAUSAL_LM",)
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### Training results
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### Framework versions
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- transformers==4.38.2
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- datasets==2.18.0
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- peft==0.10.0
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- safetensors==0.4.2
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- evaluate==0.4.1
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- bitsandbytes==0.43
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- huggingface_hub==0.22.2
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- seqeval==1.2.2
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- optimum==1.18.1
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- auto-gptq==0.7.1
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- gpustat==1.1.1
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- deepspeed==0.14.0
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- wandb==0.16.6
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- trl==0.8.1
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- accelerate==0.29.2
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- coloredlogs==15.0.1
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- traitlets==5.14.2
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- autoawq@https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.4/autoawq-0.2.4+cu118-cp310-cp310-linux_x86_64.whl
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### Hardware
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- Cloud provided: runpod.io
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checkpoint-100/README.md
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---
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library_name: peft
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base_model: HuggingFaceH4/zephyr-7b-beta
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
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- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
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|
28 |
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### Model Sources [optional]
|
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|
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|
34 |
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|
35 |
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|
36 |
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## Uses
|
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|
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
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|
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### Direct Use
|
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|
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|
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|
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[More Information Needed]
|
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|
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### Downstream Use [optional]
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|
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
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|
50 |
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[More Information Needed]
|
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|
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### Out-of-Scope Use
|
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|
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|
55 |
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|
56 |
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[More Information Needed]
|
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|
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## Bias, Risks, and Limitations
|
59 |
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|
60 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
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|
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[More Information Needed]
|
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|
64 |
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### Recommendations
|
65 |
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|
66 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
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|
68 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
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|
70 |
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## How to Get Started with the Model
|
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|
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Use the code below to get started with the model.
|
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|
74 |
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[More Information Needed]
|
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|
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## Training Details
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|
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### Training Data
|
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|
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|
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[More Information Needed]
|
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|
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### Training Procedure
|
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|
86 |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
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|
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#### Preprocessing [optional]
|
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|
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[More Information Needed]
|
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|
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|
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#### Training Hyperparameters
|
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|
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
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|
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#### Speeds, Sizes, Times [optional]
|
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|
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|
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[More Information Needed]
|
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|
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## Evaluation
|
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|
105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
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|
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### Testing Data, Factors & Metrics
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|
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#### Testing Data
|
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|
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|
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#### Factors
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|
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|
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|
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[More Information Needed]
|
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|
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#### Metrics
|
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|
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
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|
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[More Information Needed]
|
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+
|
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### Results
|
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|
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[More Information Needed]
|
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|
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#### Summary
|
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|
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|
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|
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## Model Examination [optional]
|
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|
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<!-- Relevant interpretability work for the model goes here -->
|
138 |
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|
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[More Information Needed]
|
140 |
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|
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## Environmental Impact
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|
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
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|
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
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+
- **Hardware Type:** [More Information Needed]
|
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|
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|
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- **Carbon Emitted:** [More Information Needed]
|
152 |
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|
153 |
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## Technical Specifications [optional]
|
154 |
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|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
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[More Information Needed]
|
158 |
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|
159 |
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### Compute Infrastructure
|
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|
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[More Information Needed]
|
162 |
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|
163 |
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#### Hardware
|
164 |
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|
165 |
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[More Information Needed]
|
166 |
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|
167 |
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#### Software
|
168 |
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|
169 |
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[More Information Needed]
|
170 |
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|
171 |
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## Citation [optional]
|
172 |
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|
173 |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
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|
175 |
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**BibTeX:**
|
176 |
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|
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[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
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|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
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[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
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[More Information Needed]
|
196 |
+
|
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+
## Model Card Contact
|
198 |
+
|
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[More Information Needed]
|
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+
### Framework versions
|
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+
|
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- PEFT 0.10.0
|
checkpoint-100/adapter_config.json
ADDED
@@ -0,0 +1,36 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"k_proj",
|
26 |
+
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|
27 |
+
"down_proj",
|
28 |
+
"v_proj",
|
29 |
+
"o_proj",
|
30 |
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|
31 |
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|
32 |
+
],
|
33 |
+
"task_type": "CAUSAL_LM",
|
34 |
+
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|
35 |
+
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|
36 |
+
}
|
checkpoint-100/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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checkpoint-100/optimizer.pt
ADDED
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checkpoint-100/rng_state.pth
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|
checkpoint-100/scheduler.pt
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checkpoint-100/special_tokens_map.json
ADDED
@@ -0,0 +1,29 @@
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|
checkpoint-100/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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checkpoint-100/tokenizer.model
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checkpoint-100/tokenizer_config.json
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+
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|
36 |
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
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|
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|
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|
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|
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|
47 |
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|
48 |
+
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|
49 |
+
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|
50 |
+
}
|
checkpoint-100/trainer_state.json
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@@ -0,0 +1,114 @@
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checkpoint-100/training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5688
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checkpoint-1000/README.md
ADDED
@@ -0,0 +1,202 @@
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|
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|
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|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: HuggingFaceH4/zephyr-7b-beta
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-1000/adapter_config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
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|
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{
|
2 |
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"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
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+
"layer_replication": null,
|
10 |
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"layers_pattern": null,
|
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|
12 |
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"loftq_config": {},
|
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|
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|
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|
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"megatron_core": "megatron.core",
|
17 |
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|
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|
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|
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|
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"target_modules": [
|
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"gate_proj",
|
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"up_proj",
|
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"k_proj",
|
26 |
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"q_proj",
|
27 |
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"down_proj",
|
28 |
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"v_proj",
|
29 |
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"o_proj",
|
30 |
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"lm_head",
|
31 |
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"embed_tokens"
|
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],
|
33 |
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"task_type": "CAUSAL_LM",
|
34 |
+
"use_dora": false,
|
35 |
+
"use_rslora": false
|
36 |
+
}
|
checkpoint-1000/adapter_model.safetensors
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size 1064
|
checkpoint-1000/special_tokens_map.json
ADDED
@@ -0,0 +1,29 @@
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|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<unk>",
|
4 |
+
"<s>",
|
5 |
+
"</s>"
|
6 |
+
],
|
7 |
+
"bos_token": {
|
8 |
+
"content": "<s>",
|
9 |
+
"lstrip": false,
|
10 |
+
"normalized": false,
|
11 |
+
"rstrip": false,
|
12 |
+
"single_word": false
|
13 |
+
},
|
14 |
+
"eos_token": {
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"pad_token": "<unk>",
|
22 |
+
"unk_token": {
|
23 |
+
"content": "<unk>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false
|
28 |
+
}
|
29 |
+
}
|
checkpoint-1000/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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|
checkpoint-1000/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
checkpoint-1000/tokenizer_config.json
ADDED
@@ -0,0 +1,50 @@
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1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [
|
31 |
+
"<unk>",
|
32 |
+
"<s>",
|
33 |
+
"</s>"
|
34 |
+
],
|
35 |
+
"bos_token": "<s>",
|
36 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
37 |
+
"clean_up_tokenization_spaces": false,
|
38 |
+
"eos_token": "</s>",
|
39 |
+
"legacy": true,
|
40 |
+
"max_lenght": 8192,
|
41 |
+
"model_max_length": 1000000000000000019884624838656,
|
42 |
+
"pad_token": "<unk>",
|
43 |
+
"padding": true,
|
44 |
+
"sp_model_kwargs": {},
|
45 |
+
"spaces_between_special_tokens": false,
|
46 |
+
"tokenizer_class": "LlamaTokenizer",
|
47 |
+
"truncation_side": "left",
|
48 |
+
"unk_token": "<unk>",
|
49 |
+
"use_default_system_prompt": true
|
50 |
+
}
|
checkpoint-1000/trainer_state.json
ADDED
@@ -0,0 +1,951 @@
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|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5,
|
3 |
+
"best_model_checkpoint": "./zephyr/10-04-24-Weni-WeniGPT-Agents-Zephyr-1.0.25-KTO_Experiment with a new tokenizer configuration for chat template of zephyr-2_max_steps-1470_batch_16_2024-04-10_ppid_9/checkpoint-300",
|
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checkpoint-1000/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae5309801a19049c58de3649400afbb558334e14e33dff69ca022789cf2400ea
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size 5688
|
checkpoint-1100/README.md
ADDED
@@ -0,0 +1,202 @@
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: HuggingFaceH4/zephyr-7b-beta
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-1100/adapter_config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
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|
|
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|
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|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
|
5 |
+
"bias": "none",
|
6 |
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"fan_in_fan_out": false,
|
7 |
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|
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|
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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"lora_alpha": 16,
|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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"r": 8,
|
20 |
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|
21 |
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|
22 |
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"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
+
"up_proj",
|
25 |
+
"k_proj",
|
26 |
+
"q_proj",
|
27 |
+
"down_proj",
|
28 |
+
"v_proj",
|
29 |
+
"o_proj",
|
30 |
+
"lm_head",
|
31 |
+
"embed_tokens"
|
32 |
+
],
|
33 |
+
"task_type": "CAUSAL_LM",
|
34 |
+
"use_dora": false,
|
35 |
+
"use_rslora": false
|
36 |
+
}
|
checkpoint-1100/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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3 |
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size 1134834064
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checkpoint-1100/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:aaf210564e50826b11ada69542b76a3ce19a4b9afc9b275dcce2cbf6af5c1b54
|
3 |
+
size 172772766
|
checkpoint-1100/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c94c375fe5ad2903d244ca6b5cc2a1a6cba4c0c26196f3b9cbd9ddd170bb0b8
|
3 |
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size 14244
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checkpoint-1100/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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|
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size 1064
|
checkpoint-1100/special_tokens_map.json
ADDED
@@ -0,0 +1,29 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
27 |
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|
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}
|
29 |
+
}
|
checkpoint-1100/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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|
checkpoint-1100/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
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size 493443
|
checkpoint-1100/tokenizer_config.json
ADDED
@@ -0,0 +1,50 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
28 |
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|
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|
30 |
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|
31 |
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|
32 |
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|
33 |
+
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|
34 |
+
],
|
35 |
+
"bos_token": "<s>",
|
36 |
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
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|
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|
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|
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|
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|
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|
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|
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|
47 |
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|
48 |
+
"unk_token": "<unk>",
|
49 |
+
"use_default_system_prompt": true
|
50 |
+
}
|
checkpoint-1100/trainer_state.json
ADDED
@@ -0,0 +1,1044 @@
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: HuggingFaceH4/zephyr-7b-beta
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-1200/adapter_config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
+
"up_proj",
|
25 |
+
"k_proj",
|
26 |
+
"q_proj",
|
27 |
+
"down_proj",
|
28 |
+
"v_proj",
|
29 |
+
"o_proj",
|
30 |
+
"lm_head",
|
31 |
+
"embed_tokens"
|
32 |
+
],
|
33 |
+
"task_type": "CAUSAL_LM",
|
34 |
+
"use_dora": false,
|
35 |
+
"use_rslora": false
|
36 |
+
}
|
checkpoint-1200/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a34892bba9479a33faeb36ceec4290aeba59d3a82abf645874a81f3fd670f9b
|
3 |
+
size 1134834064
|
checkpoint-1200/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99903a5b8db99d3795bacf076d4b9cc93979ba0ebaf6f5895453ca3aa999dfec
|
3 |
+
size 172772766
|
checkpoint-1200/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:27a79239f98d586c6d293becfe4724cb48ad892f743d1e770886cde54b3333d6
|
3 |
+
size 14244
|
checkpoint-1200/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e3d496c0c5cba2ece3b6fbeaa4eb9daaa3402ba1e3d2b995451385e27b0416f5
|
3 |
+
size 1064
|
checkpoint-1200/special_tokens_map.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<unk>",
|
4 |
+
"<s>",
|
5 |
+
"</s>"
|
6 |
+
],
|
7 |
+
"bos_token": {
|
8 |
+
"content": "<s>",
|
9 |
+
"lstrip": false,
|
10 |
+
"normalized": false,
|
11 |
+
"rstrip": false,
|
12 |
+
"single_word": false
|
13 |
+
},
|
14 |
+
"eos_token": {
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"pad_token": "<unk>",
|
22 |
+
"unk_token": {
|
23 |
+
"content": "<unk>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false
|
28 |
+
}
|
29 |
+
}
|
checkpoint-1200/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1200/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
checkpoint-1200/tokenizer_config.json
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [
|
31 |
+
"<unk>",
|
32 |
+
"<s>",
|
33 |
+
"</s>"
|
34 |
+
],
|
35 |
+
"bos_token": "<s>",
|
36 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
37 |
+
"clean_up_tokenization_spaces": false,
|
38 |
+
"eos_token": "</s>",
|
39 |
+
"legacy": true,
|
40 |
+
"max_lenght": 8192,
|
41 |
+
"model_max_length": 1000000000000000019884624838656,
|
42 |
+
"pad_token": "<unk>",
|
43 |
+
"padding": true,
|
44 |
+
"sp_model_kwargs": {},
|
45 |
+
"spaces_between_special_tokens": false,
|
46 |
+
"tokenizer_class": "LlamaTokenizer",
|
47 |
+
"truncation_side": "left",
|
48 |
+
"unk_token": "<unk>",
|
49 |
+
"use_default_system_prompt": true
|
50 |
+
}
|
checkpoint-1200/trainer_state.json
ADDED
@@ -0,0 +1,1137 @@
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|
1 |
+
{
|
2 |
+
"best_metric": 0.5,
|
3 |
+
"best_model_checkpoint": "./zephyr/10-04-24-Weni-WeniGPT-Agents-Zephyr-1.0.25-KTO_Experiment with a new tokenizer configuration for chat template of zephyr-2_max_steps-1470_batch_16_2024-04-10_ppid_9/checkpoint-300",
|
4 |
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"epoch": 7.920792079207921,
|
5 |
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"eval_steps": 50,
|
6 |
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"global_step": 1200,
|
7 |
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"is_hyper_param_search": false,
|
8 |
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"is_local_process_zero": true,
|
9 |
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"is_world_process_zero": true,
|
10 |
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"log_history": [
|
11 |
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{
|
12 |
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"epoch": 0.13,
|
13 |
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"grad_norm": 57.293792724609375,
|
14 |
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"kl": 0.03853478282690048,
|
15 |
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"learning_rate": 6.222222222222222e-05,
|
16 |
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"logps/chosen": NaN,
|
17 |
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"logps/rejected": NaN,
|
18 |
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"loss": 0.7078,
|
19 |
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"rewards/chosen": NaN,
|
20 |
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"rewards/margins": NaN,
|
21 |
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"rewards/rejected": NaN,
|
22 |
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"step": 20
|
23 |
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},
|
24 |
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{
|
25 |
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"epoch": 0.26,
|
26 |
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"grad_norm": 112.50944519042969,
|
27 |
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"kl": 3.2648494243621826,
|
28 |
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"learning_rate": 0.00014666666666666666,
|
29 |
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"logps/chosen": NaN,
|
30 |
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"logps/rejected": NaN,
|
31 |
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"loss": 0.6966,
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32 |
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"rewards/chosen": NaN,
|
33 |
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"rewards/margins": NaN,
|
34 |
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"rewards/rejected": NaN,
|
35 |
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"step": 40
|
36 |
+
},
|
37 |
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{
|
38 |
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"epoch": 0.33,
|
39 |
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"eval_kl": 0.0,
|
40 |
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"eval_logps/chosen": -413.6161193847656,
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41 |
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"eval_logps/rejected": -362.2559509277344,
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42 |
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"eval_loss": 0.5063381791114807,
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43 |
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"eval_rewards/chosen": -13.412939071655273,
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44 |
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"eval_rewards/margins": -1.0048810243606567,
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45 |
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"eval_rewards/rejected": -12.408059120178223,
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46 |
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"eval_runtime": 170.1826,
|
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checkpoint-1300/README.md
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library_name: peft
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base_model: HuggingFaceH4/zephyr-7b-beta
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.10.0
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