fedyanin commited on
Commit
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1 Parent(s): efa7b7f

End of training

Browse files
README.md CHANGED
@@ -2,9 +2,15 @@
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  license: other
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  base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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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: zephyr-7b-gemma-dpo
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  results: []
@@ -16,17 +22,17 @@ 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/kirill-fedyanin/huggingface/runs/uj2to373)
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  # zephyr-7b-gemma-dpo
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- This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4608
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- - Rewards/chosen: -4.1286
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- - Rewards/rejected: -5.8457
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  - Rewards/accuracies: 0.7292
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- - Rewards/margins: 1.7171
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- - Logps/rejected: -478.9854
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- - Logps/chosen: -446.2400
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- - Logits/rejected: 85.7808
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- - Logits/chosen: 91.4893
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  ## Model description
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  license: other
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  base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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  tags:
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+ - alignment-handbook
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  - trl
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  - dpo
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  - generated_from_trainer
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ datasets:
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+ - argilla/dpo-mix-7k
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  model-index:
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  - name: zephyr-7b-gemma-dpo
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  results: []
 
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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/kirill-fedyanin/huggingface/runs/uj2to373)
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  # zephyr-7b-gemma-dpo
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+ This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on the argilla/dpo-mix-7k dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4658
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+ - Rewards/chosen: -4.1134
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+ - Rewards/rejected: -5.8777
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  - Rewards/accuracies: 0.7292
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+ - Rewards/margins: 1.7644
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+ - Logps/rejected: -479.6258
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+ - Logps/chosen: -445.9359
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+ - Logits/rejected: 85.7594
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+ - Logits/chosen: 91.4868
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,18 @@
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  {
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  "epoch": 1.971563981042654,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.38906457561713,
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  "train_runtime": 3484.4936,
 
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  {
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  "epoch": 1.971563981042654,
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+ "eval_logits/chosen": 91.48676300048828,
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+ "eval_logits/rejected": 85.7594223022461,
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+ "eval_logps/chosen": -445.9359436035156,
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+ "eval_logps/rejected": -479.6258239746094,
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+ "eval_loss": 0.465834379196167,
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+ "eval_rewards/accuracies": 0.7291666865348816,
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+ "eval_rewards/chosen": -4.113387584686279,
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+ "eval_rewards/margins": 1.7643555402755737,
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+ "eval_rewards/rejected": -5.877742767333984,
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+ "eval_runtime": 131.0653,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 5.722,
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+ "eval_steps_per_second": 0.183,
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  "total_flos": 0.0,
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  "train_loss": 0.38906457561713,
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  "train_runtime": 3484.4936,
config.json CHANGED
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  "rope_theta": 10000.0,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.41.0.dev0",
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- "use_cache": false,
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  "vocab_size": 256000
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  }
 
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  "rope_theta": 10000.0,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.41.0.dev0",
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+ "use_cache": true,
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  "vocab_size": 256000
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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.971563981042654,
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+ "eval_logits/chosen": 91.48676300048828,
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+ "eval_logits/rejected": 85.7594223022461,
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+ "eval_logps/chosen": -445.9359436035156,
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+ "eval_logps/rejected": -479.6258239746094,
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+ "eval_loss": 0.465834379196167,
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+ "eval_rewards/accuracies": 0.7291666865348816,
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+ "eval_rewards/chosen": -4.113387584686279,
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+ "eval_rewards/margins": 1.7643555402755737,
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+ "eval_rewards/rejected": -5.877742767333984,
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+ "eval_runtime": 131.0653,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 5.722,
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+ "eval_steps_per_second": 0.183
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+ }
runs/May14_19-58-02_t01pdscgpu05/events.out.tfevents.1715706965.t01pdscgpu05.1564816.1 ADDED
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