Model save
Browse files- README.md +60 -0
- all_results.json +9 -0
- config.json +30 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Jul15_23-01-52_ip-26-0-171-168/events.out.tfevents.1721084661.ip-26-0-171-168.1537695.0 +3 -0
- runs/Jul15_23-02-15_ip-26-0-175-34/events.out.tfevents.1721084673.ip-26-0-175-34.1294397.0 +3 -0
- special_tokens_map.json +34 -0
- tokenizer.json +0 -0
- tokenizer_config.json +154 -0
- train_results.json +9 -0
- trainer_state.json +147 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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base_model: HuggingFaceTB/cosmo2-1.7B-webinst-sc2
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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: cosmo2-1.7B-webinst-sc2-dpo-helpsteer-ep1
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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://wandb.ai/loubnabnl/huggingface/runs/xzcjqvtn)
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# cosmo2-1.7B-webinst-sc2-dpo-helpsteer-ep1
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This model is a fine-tuned version of [HuggingFaceTB/cosmo2-1.7B-webinst-sc2](https://huggingface.co/HuggingFaceTB/cosmo2-1.7B-webinst-sc2) on an unknown dataset.
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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: 5e-06
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- train_batch_size: 2
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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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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9872958257713249,
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"total_flos": 0.0,
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"train_loss": 0.6753217893488267,
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"train_runtime": 321.7901,
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"train_samples": 8806,
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"train_samples_per_second": 27.366,
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"train_steps_per_second": 0.211
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}
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config.json
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{
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"_name_or_path": "HuggingFaceTB/cosmo2-1.7B-webinst-sc2",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 24,
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"num_key_value_heads": 32,
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"pad_token_id": 2,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.3",
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"use_cache": false,
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"vocab_size": 49152
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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": 1,
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"eos_token_id": 2,
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"pad_token_id": 2,
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"transformers_version": "4.42.3"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dfde9c7932c8a4b18f32f614820dc6f9a6d67c5699279d66e20b92d98ad5851a
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size 3422777952
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runs/Jul15_23-01-52_ip-26-0-171-168/events.out.tfevents.1721084661.ip-26-0-171-168.1537695.0
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size 10294
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runs/Jul15_23-02-15_ip-26-0-175-34/events.out.tfevents.1721084673.ip-26-0-175-34.1294397.0
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version https://git-lfs.github.com/spec/v1
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size 10293
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special_tokens_map.json
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{
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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vocab.json
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