End of training
Browse files- README.md +19 -13
- all_results.json +15 -15
- config.json +1 -1
- eval_results.json +16 -16
README.md
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- trl
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- orpo
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- alignment-handbook
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- generated_from_trainer
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model-index:
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- name: zephyr-7b-sft-full-orpo
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results: []
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@@ -17,20 +23,20 @@ should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/statking/huggingface/runs/90a8kp39)
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# zephyr-7b-sft-full-orpo
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on
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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: -0.
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- Logps/chosen: -0.
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- Logits/rejected: -2.
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- Logits/chosen: -2.
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- Nll Loss: 0.
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- Log Odds Ratio: -0.
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- Log Odds Chosen: 0.
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## Model description
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- alignment-handbook
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- trl
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- orpo
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- generated_from_trainer
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- trl
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- orpo
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- alignment-handbook
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- generated_from_trainer
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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-sft-full-orpo
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results: []
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/statking/huggingface/runs/90a8kp39)
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# zephyr-7b-sft-full-orpo
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4701
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- Rewards/chosen: -0.0364
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- Rewards/rejected: -0.0499
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- Rewards/accuracies: 0.6587
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- Rewards/margins: 0.0135
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- Logps/rejected: -0.9978
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- Logps/chosen: -0.7282
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- Logits/rejected: -2.9263
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- Logits/chosen: -2.9434
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- Nll Loss: 0.4357
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- Log Odds Ratio: -0.6093
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- Log Odds Chosen: 0.4456
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## Model description
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all_results.json
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{
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"epoch": 0.9994756161510225,
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"eval_log_odds_chosen":
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"eval_log_odds_ratio": -
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"eval_logits/chosen": -2.
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"eval_logits/rejected": -2.
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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_nll_loss":
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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":
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"eval_samples": 1994,
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"eval_samples_per_second": 14.
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"eval_steps_per_second": 0.
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"total_flos": 0.0,
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"train_loss": 0.5301580581685054,
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"train_runtime": 20737.8205,
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{
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"epoch": 0.9994756161510225,
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"eval_log_odds_chosen": 0.4455896019935608,
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"eval_log_odds_ratio": -0.6093403697013855,
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"eval_logits/chosen": -2.943448543548584,
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"eval_logits/rejected": -2.9263010025024414,
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"eval_logps/chosen": -0.7282419204711914,
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"eval_logps/rejected": -0.9978163242340088,
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"eval_loss": 0.4700748324394226,
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"eval_nll_loss": 0.4356931149959564,
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"eval_rewards/accuracies": 0.658730149269104,
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"eval_rewards/chosen": -0.03641209378838539,
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"eval_rewards/margins": 0.013478721491992474,
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"eval_rewards/rejected": -0.04989081248641014,
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"eval_runtime": 137.5022,
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"eval_samples": 1994,
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"eval_samples_per_second": 14.502,
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"eval_steps_per_second": 0.458,
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"total_flos": 0.0,
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"train_loss": 0.5301580581685054,
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"train_runtime": 20737.8205,
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config.json
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.0.dev0",
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"use_cache":
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"vocab_size": 32000
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}
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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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_log_odds_chosen":
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"eval_log_odds_ratio": -
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"eval_logits/chosen": -2.
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"eval_logits/rejected": -2.
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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_nll_loss":
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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":
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"eval_samples": 1994,
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"eval_samples_per_second": 14.
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"eval_steps_per_second": 0.
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}
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{
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"eval_logps/rejected": -0.9978163242340088,
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"eval_loss": 0.4700748324394226,
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"eval_nll_loss": 0.4356931149959564,
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"eval_rewards/accuracies": 0.658730149269104,
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"eval_rewards/margins": 0.013478721491992474,
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"eval_runtime": 137.5022,
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"eval_samples": 1994,
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"eval_samples_per_second": 14.502,
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"eval_steps_per_second": 0.458
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}
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