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
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results: []
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@@ -15,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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# zephyr-7b-dpo-full
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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: -1.
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- Rewards/rejected: -2.
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -469.
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- Logps/chosen: -
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- Logits/rejected: -0.
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- Logits/chosen: -1.
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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
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results: []
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# zephyr-7b-dpo-full
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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: 0.5018
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- Rewards/chosen: -1.1027
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- Rewards/rejected: -2.0673
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- Rewards/accuracies: 0.7656
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- Rewards/margins: 0.9646
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- Logps/rejected: -469.4237
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- Logps/chosen: -372.8636
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- Logits/rejected: -0.4162
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- Logits/chosen: -1.1470
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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": 0.5374924991918907,
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"train_runtime": 7413.7576,
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"train_samples": 61134,
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{
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"epoch": 1.0,
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"eval_logits/chosen": -1.1469733715057373,
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"eval_logits/rejected": -0.4162125587463379,
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"eval_logps/chosen": -372.8635559082031,
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"eval_logps/rejected": -469.4237060546875,
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"eval_loss": 0.5017749071121216,
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"eval_rewards/accuracies": 0.765625,
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"eval_rewards/chosen": -1.1026902198791504,
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"eval_rewards/margins": 0.9646469354629517,
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"eval_rewards/rejected": -2.0673370361328125,
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"eval_runtime": 91.4963,
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"eval_samples": 2000,
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"eval_samples_per_second": 21.859,
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"eval_steps_per_second": 0.35,
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"train_loss": 0.5374924991918907,
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"train_runtime": 7413.7576,
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"train_samples": 61134,
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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": 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": "4.39.0.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": 1.0,
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"eval_logits/chosen": -1.1469733715057373,
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"eval_logits/rejected": -0.4162125587463379,
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"eval_logps/chosen": -372.8635559082031,
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"eval_logps/rejected": -469.4237060546875,
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"eval_loss": 0.5017749071121216,
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"eval_rewards/accuracies": 0.765625,
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"eval_rewards/chosen": -1.1026902198791504,
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"eval_rewards/margins": 0.9646469354629517,
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"eval_rewards/rejected": -2.0673370361328125,
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"eval_runtime": 91.4963,
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"eval_samples": 2000,
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"eval_samples_per_second": 21.859,
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"eval_steps_per_second": 0.35
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}
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