End of training
Browse files- README.md +15 -2
- all_results.json +22 -0
- eval_results.json +17 -0
- train_results.json +8 -0
- trainer_state.json +178 -0
- training_loss.png +0 -0
- training_rewards_accuracies.png +0 -0
README.md
CHANGED
@@ -3,9 +3,10 @@ base_model: meta-llama/Llama-3.1-8B-Instruct
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library_name: peft
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license: llama3.1
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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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model-index:
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- name: Llama-3.1-8B-Instruct-SAA-Half
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@@ -17,7 +18,19 @@ should probably proofread and complete it, then remove this comment. -->
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# Llama-3.1-8B-Instruct-SAA-Half
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-
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on
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## Model description
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library_name: peft
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license: llama3.1
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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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model-index:
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- name: Llama-3.1-8B-Instruct-SAA-Half
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# Llama-3.1-8B-Instruct-SAA-Half
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the bct_non_cot_dpo_500 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9151
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- Rewards/chosen: -0.0869
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- Rewards/rejected: -0.1296
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- Rewards/accuracies: 0.8400
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- Rewards/margins: 0.0426
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- Logps/rejected: -1.2958
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- Logps/chosen: -0.8695
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- Logits/rejected: -0.4842
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- Logits/chosen: -0.4099
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- Sft Loss: 0.1050
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- Odds Ratio Loss: 8.1010
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## Model description
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all_results.json
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}
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eval_results.json
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}
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train_results.json
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trainer_state.json
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training_loss.png
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training_rewards_accuracies.png
ADDED
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