End of training
Browse files- README.md +3 -3
- all_results.json +20 -20
- eval_results.json +15 -15
- train_results.json +6 -6
- trainer_state.json +0 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
- training_rewards_accuracies.png +0 -0
- training_sft_loss.png +0 -0
README.md
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license: gemma
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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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- llama-factory
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- lora
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- generated_from_trainer
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base_model: google/gemma-7b-it
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model-index:
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@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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# Gemma-7B-It-ORPO
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This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on
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It achieves the following results on the evaluation set:
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- Loss: 1.3471
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- Rewards/chosen: -0.1281
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license: gemma
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library_name: peft
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tags:
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- llama-factory
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- lora
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- trl
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- dpo
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- generated_from_trainer
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base_model: google/gemma-7b-it
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model-index:
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# Gemma-7B-It-ORPO
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This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on the dpo_mix_en dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3471
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- Rewards/chosen: -0.1281
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all_results.json
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{
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"epoch":
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"eval_logits/chosen":
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"eval_logits/rejected":
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"eval_logps/chosen": -
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"eval_logps/rejected": -
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"eval_loss":
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"eval_odds_ratio_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":
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"eval_rewards/rejected": -0.
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"eval_runtime":
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"eval_samples_per_second":
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"eval_sft_loss":
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"eval_steps_per_second":
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"total_flos":
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"train_loss":
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 2.997999555456768,
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"eval_logits/chosen": 254.46791076660156,
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"eval_logits/rejected": 254.66136169433594,
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"eval_logps/chosen": -1.2813518047332764,
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"eval_logps/rejected": -1.5003557205200195,
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"eval_loss": 1.347064733505249,
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"eval_odds_ratio_loss": 0.6571269631385803,
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"eval_rewards/accuracies": 0.5609999895095825,
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"eval_rewards/chosen": -0.12813518941402435,
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"eval_rewards/margins": 0.021900387480854988,
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"eval_rewards/rejected": -0.15003558993339539,
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"eval_runtime": 217.2016,
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"eval_samples_per_second": 4.604,
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"eval_sft_loss": 1.2813518047332764,
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"eval_steps_per_second": 2.302,
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"total_flos": 2.0747345909474918e+18,
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"train_loss": 1.4404786094086308,
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"train_runtime": 22862.0738,
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"train_samples_per_second": 1.181,
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"train_steps_per_second": 0.074
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}
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eval_results.json
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{
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"epoch":
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"eval_logits/chosen":
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"eval_logits/rejected":
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"eval_logps/chosen": -
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"eval_logps/rejected": -
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"eval_loss":
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"eval_odds_ratio_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":
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"eval_rewards/rejected": -0.
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"eval_runtime":
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"eval_samples_per_second":
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"eval_sft_loss":
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"eval_steps_per_second":
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}
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{
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"epoch": 2.997999555456768,
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"eval_logits/chosen": 254.46791076660156,
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"eval_logits/rejected": 254.66136169433594,
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"eval_logps/chosen": -1.2813518047332764,
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"eval_logps/rejected": -1.5003557205200195,
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"eval_loss": 1.347064733505249,
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"eval_odds_ratio_loss": 0.6571269631385803,
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"eval_rewards/accuracies": 0.5609999895095825,
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"eval_rewards/chosen": -0.12813518941402435,
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"eval_rewards/margins": 0.021900387480854988,
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"eval_rewards/rejected": -0.15003558993339539,
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"eval_runtime": 217.2016,
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"eval_samples_per_second": 4.604,
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"eval_sft_loss": 1.2813518047332764,
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"eval_steps_per_second": 2.302
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}
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train_results.json
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{
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"epoch":
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"total_flos":
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"train_loss":
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 2.997999555456768,
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"total_flos": 2.0747345909474918e+18,
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"train_loss": 1.4404786094086308,
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"train_runtime": 22862.0738,
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"train_samples_per_second": 1.181,
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"train_steps_per_second": 0.074
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}
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trainer_state.json
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training_eval_loss.png
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training_loss.png
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training_rewards_accuracies.png
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training_sft_loss.png
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