End of training
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README.md
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license: apache-2.0
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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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- alignment-handbook
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: zephyr-7b
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results: []
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@@ -17,17 +23,17 @@ should probably proofread and complete it, then remove this comment. -->
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# zephyr-7b
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: -0.
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- Rewards/rejected: -0.
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: 1.
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- Logits/chosen: 1.
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- Use Label: 0.0
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- Pred Label: 0.0
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license: apache-2.0
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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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- alignment-handbook
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-v0.1
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: zephyr-7b
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results: []
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# zephyr-7b
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6152
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- Rewards/chosen: -0.5055
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- Rewards/rejected: -0.8740
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- Rewards/accuracies: 0.3789
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- Rewards/margins: 0.3685
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- Logps/rejected: -164.5882
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- Logps/chosen: -114.4584
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- Logits/rejected: 1.5984
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- Logits/chosen: 1.5070
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- Use Label: 0.0
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- Pred Label: 0.0
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all_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen":
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"eval_logits/rejected": 1.
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"eval_logps/chosen": -
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"eval_logps/rejected": -
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"eval_loss": 0.
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"eval_pred_label": 0.0,
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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": 125.
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"eval_samples": 2000,
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"eval_samples_per_second": 15.
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"eval_steps_per_second": 0.
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"eval_use_label": 0.0,
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"train_loss": 0.6357159084743924,
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"train_runtime": 9601.7268,
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{
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"epoch": 1.0,
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"eval_logits/chosen": 1.507018804550171,
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"eval_logits/rejected": 1.598363995552063,
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"eval_logps/chosen": -114.45843505859375,
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"eval_logps/rejected": -164.58822631835938,
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"eval_loss": 0.6152364015579224,
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"eval_pred_label": 0.0,
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"eval_rewards/accuracies": 0.37890625,
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"eval_rewards/chosen": -0.5054618120193481,
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"eval_rewards/margins": 0.3684910833835602,
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"eval_rewards/rejected": -0.8739528656005859,
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"eval_runtime": 125.1233,
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"eval_samples": 2000,
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"eval_samples_per_second": 15.984,
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"eval_steps_per_second": 0.256,
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"eval_use_label": 0.0,
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"train_loss": 0.6357159084743924,
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"train_runtime": 9601.7268,
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eval_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen":
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"eval_logits/rejected": 1.
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"eval_logps/chosen": -
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"eval_loss": 0.
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"eval_pred_label": 0.0,
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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": 125.
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"eval_samples": 2000,
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"eval_samples_per_second": 15.
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"eval_steps_per_second": 0.
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"eval_use_label": 0.0
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}
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{
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"epoch": 1.0,
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"eval_logits/chosen": 1.507018804550171,
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"eval_logits/rejected": 1.598363995552063,
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"eval_logps/chosen": -114.45843505859375,
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"eval_logps/rejected": -164.58822631835938,
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"eval_loss": 0.6152364015579224,
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"eval_pred_label": 0.0,
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"eval_rewards/accuracies": 0.37890625,
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"eval_rewards/chosen": -0.5054618120193481,
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"eval_rewards/margins": 0.3684910833835602,
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"eval_rewards/rejected": -0.8739528656005859,
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"eval_runtime": 125.1233,
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"eval_samples": 2000,
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"eval_samples_per_second": 15.984,
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"eval_steps_per_second": 0.256,
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"eval_use_label": 0.0
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}
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runs/Mar20_15-13-30_uclaml04.cs.ucla.edu/events.out.tfevents.1710982613.uclaml04.cs.ucla.edu.3989465.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:440420edf9e2dff6c168225fda2a44a7443076b04b8a52d23c82e551005c5aaa
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size 935
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