yiran-wang3
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Model save
Browse files- README.md +80 -0
- all_results.json +9 -0
- generation_config.json +9 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +280 -0
- train_results.json +9 -0
- trainer_state.json +736 -0
README.md
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---
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license: other
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base_model: deepseek-ai/deepseek-llm-7b-chat
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: ds_chat_sppo_hard_new_iter0_2024-09-17-14.35
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://ml.byteintl.net/experiment/tracking/detail?Id=project_20240915_20321b8f&selectedTrial=run_20240918_0b17b41a)
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# ds_chat_sppo_hard_new_iter0_2024-09-17-14.35
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This model is a fine-tuned version of [deepseek-ai/deepseek-llm-7b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4365
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- Rewards/chosen: 0.0466
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- Rewards/rejected: -0.0388
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- Rewards/accuracies: 0.5769
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- Rewards/margins: 0.0854
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- Logps/rejected: -287.4509
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- Logps/chosen: -250.6894
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- Logits/rejected: 1.4344
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- Logits/chosen: 1.2252
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- Debug/policy Chosen Logits: 1.2252
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- Debug/policy Rejected Logits: 1.4344
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- Debug/policy Chosen Logps: -250.6894
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- Debug/policy Rejected Logps: -287.4509
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- Debug/reference Chosen Logps: -255.3497
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- Debug/reference Rejected Logps: -283.5705
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-06
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Debug/policy Chosen Logits | Debug/policy Rejected Logits | Debug/policy Chosen Logps | Debug/policy Rejected Logps | Debug/reference Chosen Logps | Debug/reference Rejected Logps |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------------------------:|:----------------------------:|:-------------------------:|:---------------------------:|:----------------------------:|:------------------------------:|
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| 0.4429 | 0.6329 | 100 | 0.4365 | 0.0466 | -0.0388 | 0.5769 | 0.0854 | -287.4509 | -250.6894 | 1.4344 | 1.2252 | 1.2252 | 1.4344 | -250.6894 | -287.4509 | -255.3497 | -283.5705 |
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### Framework versions
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- Transformers 4.42.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.44511839181562013,
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"train_runtime": 1281.3009,
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"train_samples": 10080,
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"train_samples_per_second": 7.867,
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"train_steps_per_second": 0.123
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 100000,
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"do_sample": true,
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"eos_token_id": 100001,
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"temperature": 0.7,
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"top_p": 0.95,
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"transformers_version": "4.42.0"
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}
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model-00001-of-00003.safetensors
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size 4987202208
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model.safetensors.index.json
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