End of training
Browse files- README.md +15 -2
- all_results.json +17 -3
- eval_results.json +17 -0
- train_results.json +3 -3
- trainer_state.json +191 -191
- 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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- 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
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## Model description
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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: 1.7794
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- Rewards/chosen: -0.1716
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- Rewards/rejected: -0.1920
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- Rewards/accuracies: 0.5600
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- Rewards/margins: 0.0204
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- Logps/rejected: -1.9200
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- Logps/chosen: -1.7164
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- Logits/rejected: 236.5044
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- Logits/chosen: 236.6770
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- Sft Loss: 1.7164
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- Odds Ratio Loss: 0.6304
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## Model description
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all_results.json
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{
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"total_flos": 2.2023536924295168e+17,
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"train_loss": 1.
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"eval_runtime": 59.9808,
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"eval_samples_per_second": 1.667,
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"eval_sft_loss": 1.7163937091827393,
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"train_steps_per_second": 0.03
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eval_results.json
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{
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"epoch": 2.986666666666667,
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"eval_loss": 1.7794384956359863,
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"eval_runtime": 59.9808,
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"eval_samples_per_second": 1.667,
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"eval_sft_loss": 1.7163937091827393,
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"eval_steps_per_second": 1.667
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}
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train_results.json
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"epoch": 2.986666666666667,
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trainer_state.json
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