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 +314 -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
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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
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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
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# Llama-3.1-8B-Instruct-SAA
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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_1000 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2005
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- Rewards/chosen: -0.0159
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- Rewards/rejected: -0.0611
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- Rewards/accuracies: 0.8300
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- Rewards/margins: 0.0452
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- Logps/rejected: -0.6110
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- Logps/chosen: -0.1590
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- Logits/rejected: -0.4566
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- Logits/chosen: -0.3865
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- Sft Loss: 0.0178
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- Odds Ratio Loss: 1.8274
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## Model description
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all_results.json
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{
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"eval_loss": 0.20052169263362885,
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"eval_odds_ratio_loss": 1.8274307250976562,
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"eval_rewards/accuracies": 0.8299999833106995,
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"eval_runtime": 3.8864,
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"eval_samples_per_second": 25.73,
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"eval_steps_per_second": 12.865,
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"total_flos": 2.94774302048256e+16,
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"train_loss": 0.703327341448693,
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"train_samples_per_second": 7.09,
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"train_steps_per_second": 0.441
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}
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eval_results.json
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"eval_runtime": 3.8864,
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"eval_samples_per_second": 25.73,
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"eval_sft_loss": 0.01777861826121807,
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"eval_steps_per_second": 12.865
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}
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train_results.json
ADDED
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"train_samples_per_second": 7.09,
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"train_steps_per_second": 0.441
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}
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trainer_state.json
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training_rewards_accuracies.png
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