End of training
Browse files- README.md +16 -10
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +16 -0
README.md
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---
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base_model: Minbyul/selfbiorag-7b-wo-medication_qa-sft
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tags:
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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: selfbiorag-7b-dpo-full-sft-wo-medication_qa
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results: []
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@@ -14,17 +20,17 @@ should probably proofread and complete it, then remove this comment. -->
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# selfbiorag-7b-dpo-full-sft-wo-medication_qa
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This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/selfbiorag-7b-wo-medication_qa-sft) 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: -1.
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- Rewards/rejected: -7.
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- Rewards/accuracies: 0.
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- Rewards/margins: 5.
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- Logps/rejected: -1442.
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- Logps/chosen: -679.
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- Logits/rejected: -0.
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- Logits/chosen: -0.
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## Model description
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---
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base_model: Minbyul/selfbiorag-7b-wo-medication_qa-sft
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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- trl
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- dpo
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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: selfbiorag-7b-dpo-full-sft-wo-medication_qa
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results: []
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# selfbiorag-7b-dpo-full-sft-wo-medication_qa
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This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/selfbiorag-7b-wo-medication_qa-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2758
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- Rewards/chosen: -1.2291
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- Rewards/rejected: -7.1014
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- Rewards/accuracies: 0.8949
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- Rewards/margins: 5.8722
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- Logps/rejected: -1442.6945
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- Logps/chosen: -679.7597
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- Logits/rejected: -0.3284
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- Logits/chosen: -0.3526
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## Model description
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.23439283587014406,
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"train_runtime": 5872.9997,
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"train_samples": 19761,
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{
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"epoch": 1.0,
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"eval_logits/chosen": -0.3525831401348114,
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"eval_logits/rejected": -0.32840025424957275,
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"eval_logps/chosen": -679.7597045898438,
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"eval_logps/rejected": -1442.6944580078125,
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"eval_loss": 0.275810569524765,
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"eval_rewards/accuracies": 0.8948863744735718,
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"eval_rewards/chosen": -1.229145884513855,
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"eval_rewards/margins": 5.8722147941589355,
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"eval_rewards/rejected": -7.101361274719238,
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"eval_runtime": 172.6817,
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"eval_samples": 1392,
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"eval_samples_per_second": 8.061,
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"eval_steps_per_second": 0.255,
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"train_loss": 0.23439283587014406,
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"train_runtime": 5872.9997,
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"train_samples": 19761,
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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": "4.39.0.dev0",
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"use_cache":
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"vocab_size": 32016
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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": "4.39.0.dev0",
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"use_cache": true,
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"vocab_size": 32016
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen": -0.3525831401348114,
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"eval_logits/rejected": -0.32840025424957275,
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"eval_logps/chosen": -679.7597045898438,
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"eval_logps/rejected": -1442.6944580078125,
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"eval_loss": 0.275810569524765,
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"eval_rewards/accuracies": 0.8948863744735718,
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"eval_rewards/chosen": -1.229145884513855,
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"eval_rewards/margins": 5.8722147941589355,
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"eval_rewards/rejected": -7.101361274719238,
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"eval_runtime": 172.6817,
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"eval_samples": 1392,
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"eval_samples_per_second": 8.061,
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"eval_steps_per_second": 0.255
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}
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