End of training
Browse files- README.md +15 -9
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +16 -0
README.md
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license: apache-2.0
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base_model: alignment-handbook/zephyr-7b-sft-full
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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: zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs
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results: []
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# zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) 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: -2.
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- Rewards/rejected: -4.
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- Rewards/accuracies: 0.7578
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- Rewards/margins: 1.
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: 3.
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- Logits/chosen: 2.
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## Model description
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license: apache-2.0
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base_model: alignment-handbook/zephyr-7b-sft-full
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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: zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs
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results: []
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# zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5894
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- Rewards/chosen: -2.9914
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- Rewards/rejected: -4.9379
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- Rewards/accuracies: 0.7578
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- Rewards/margins: 1.9464
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- Logps/rejected: -756.4492
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- Logps/chosen: -561.7738
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- Logits/rejected: 3.7803
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- Logits/chosen: 2.4993
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## Model description
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all_results.json
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{
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"epoch": 2.989547038327526,
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"total_flos": 0.0,
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"train_loss": 0.22287911155840734,
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"train_runtime": 11425.5472,
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{
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"epoch": 2.989547038327526,
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"eval_logits/chosen": 2.499317169189453,
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"eval_logits/rejected": 3.780329704284668,
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"eval_logps/chosen": -561.7738037109375,
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"eval_logps/rejected": -756.44921875,
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"eval_loss": 0.5893987417221069,
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"eval_rewards/accuracies": 0.7578125,
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"eval_rewards/chosen": -2.991438865661621,
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"eval_rewards/margins": 1.9464330673217773,
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"eval_rewards/rejected": -4.93787145614624,
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"eval_runtime": 104.5148,
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"eval_samples": 2000,
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"eval_samples_per_second": 19.136,
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"eval_steps_per_second": 0.306,
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"total_flos": 0.0,
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"train_loss": 0.22287911155840734,
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"train_runtime": 11425.5472,
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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": "4.44.0.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": "4.44.0.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": 2.989547038327526,
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"eval_logits/chosen": 2.499317169189453,
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"eval_logits/rejected": 3.780329704284668,
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"eval_logps/chosen": -561.7738037109375,
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"eval_logps/rejected": -756.44921875,
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"eval_loss": 0.5893987417221069,
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"eval_rewards/accuracies": 0.7578125,
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"eval_rewards/chosen": -2.991438865661621,
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"eval_rewards/margins": 1.9464330673217773,
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"eval_rewards/rejected": -4.93787145614624,
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"eval_runtime": 104.5148,
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"eval_samples": 2000,
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"eval_samples_per_second": 19.136,
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"eval_steps_per_second": 0.306
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}
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