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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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-low-margin
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results: []
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# zephyr-7b-dpo-full-ultrabin-low-margin
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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:
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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: -
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- Logps/chosen: -
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- Logits/rejected: -2.
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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-low-margin
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results: []
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# zephyr-7b-dpo-full-ultrabin-low-margin
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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: 0.6718
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- Rewards/chosen: 0.0158
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- Rewards/rejected: -0.0423
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- Rewards/accuracies: 0.6211
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- Rewards/margins: 0.0581
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- Logps/rejected: -266.8938
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- Logps/chosen: -261.0514
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- Logits/rejected: -2.4791
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- Logits/chosen: -2.5121
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## Model description
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all_results.json
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{
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"epoch": 0.9965156794425087,
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"total_flos": 0.0,
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"train_loss": 0.6818205426622937,
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"train_runtime": 3740.6507,
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{
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"epoch": 0.9965156794425087,
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"eval_logits/chosen": -2.5121426582336426,
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"eval_logits/rejected": -2.479111909866333,
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"eval_logps/chosen": -261.0513610839844,
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"eval_logps/rejected": -266.893798828125,
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"eval_loss": 0.671826183795929,
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"eval_rewards/accuracies": 0.62109375,
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"eval_rewards/chosen": 0.015785472467541695,
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"eval_rewards/margins": 0.05810253322124481,
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"eval_rewards/rejected": -0.04231705889105797,
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"eval_runtime": 101.5931,
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"eval_samples": 2000,
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"eval_samples_per_second": 19.686,
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"eval_steps_per_second": 0.315,
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"total_flos": 0.0,
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"train_loss": 0.6818205426622937,
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"train_runtime": 3740.6507,
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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": 0.9965156794425087,
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"eval_logits/chosen": -2.5121426582336426,
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"eval_logits/rejected": -2.479111909866333,
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"eval_logps/chosen": -261.0513610839844,
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"eval_logps/rejected": -266.893798828125,
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"eval_loss": 0.671826183795929,
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"eval_rewards/accuracies": 0.62109375,
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"eval_rewards/chosen": 0.015785472467541695,
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"eval_rewards/margins": 0.05810253322124481,
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"eval_rewards/rejected": -0.04231705889105797,
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"eval_runtime": 101.5931,
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"eval_samples": 2000,
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"eval_samples_per_second": 19.686,
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"eval_steps_per_second": 0.315
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}
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