MichaelR207
commited on
End of training
Browse files- README.md +17 -1
- all_results.json +13 -0
- eval_results.json +11 -11
README.md
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license: mit
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library_name: peft
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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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base_model: HuggingFaceH4/mistral-7b-sft-beta
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model-index:
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- name: mistral-sft-7b-dpo-qlora
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results: []
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# mistral-sft-7b-dpo-qlora
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This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the
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## Model description
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license: mit
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library_name: peft
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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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base_model: HuggingFaceH4/mistral-7b-sft-beta
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: mistral-sft-7b-dpo-qlora
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results: []
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# mistral-sft-7b-dpo-qlora
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This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6936
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- Rewards/chosen: 0.0005
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- Rewards/rejected: 0.0001
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- Rewards/accuracies: 0.6875
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- Rewards/margins: 0.0003
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- Logps/rejected: -122.9776
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- Logps/chosen: -86.4464
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- Logits/rejected: -3.0453
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- Logits/chosen: -2.9824
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## Model description
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all_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.17302747964859008,
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"train_runtime": 39.8084,
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"train_samples": 5,
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{
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"epoch": 5.0,
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"eval_logits/chosen": -2.9824023246765137,
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"eval_logits/rejected": -3.0452840328216553,
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"eval_logps/chosen": -86.44639587402344,
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"eval_logps/rejected": -122.97762298583984,
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"eval_loss": 0.6935876607894897,
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"eval_rewards/accuracies": 0.6875,
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"eval_rewards/chosen": 0.000459142291219905,
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"eval_rewards/margins": 0.00031183898681774735,
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"eval_rewards/rejected": 0.00014730336260981858,
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"eval_runtime": 11.9423,
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"eval_samples": 20,
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"eval_samples_per_second": 1.675,
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"eval_steps_per_second": 0.167,
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"train_loss": 0.17302747964859008,
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"train_runtime": 39.8084,
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"train_samples": 5,
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eval_results.json
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{
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"epoch": 5.0,
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"eval_logits/chosen": -2.
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"eval_logits/rejected": -3.
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"eval_logps/chosen": -86.
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"eval_logps/rejected": -122.
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"eval_loss": 0.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen": 0.
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"eval_rewards/margins": 0.
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"eval_rewards/rejected": 0.
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"eval_runtime": 11.
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"eval_samples": 20,
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"eval_samples_per_second": 1.
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"eval_steps_per_second": 0.167
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}
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{
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"epoch": 5.0,
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"eval_logits/chosen": -2.9824023246765137,
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"eval_logits/rejected": -3.0452840328216553,
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"eval_logps/chosen": -86.44639587402344,
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"eval_logps/rejected": -122.97762298583984,
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"eval_loss": 0.6935876607894897,
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"eval_rewards/accuracies": 0.6875,
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"eval_rewards/chosen": 0.000459142291219905,
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"eval_rewards/margins": 0.00031183898681774735,
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"eval_rewards/rejected": 0.00014730336260981858,
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"eval_runtime": 11.9423,
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"eval_samples": 20,
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"eval_samples_per_second": 1.675,
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"eval_steps_per_second": 0.167
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}
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