NicholasCorrado
commited on
Commit
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End of training
Browse files- README.md +17 -1
- all_results.json +13 -13
- config.json +1 -1
- eval_results.json +14 -14
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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- alignment-handbook
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- generated_from_trainer
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model-index:
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- name: uf-rlced-conifer-zephyr-7b-group-dpo-no-clip
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results: []
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@@ -17,7 +23,17 @@ should probably proofread and complete it, then remove this comment. -->
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# uf-rlced-conifer-zephyr-7b-group-dpo-no-clip
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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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## 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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- alignment-handbook
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- generated_from_trainer
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datasets:
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- data/zephyr_uf_rlced_conifer_ref
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model-index:
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- name: uf-rlced-conifer-zephyr-7b-group-dpo-no-clip
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results: []
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# uf-rlced-conifer-zephyr-7b-group-dpo-no-clip
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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 data/zephyr_uf_rlced_conifer_ref dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2786
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- Rewards/chosen: -1.9498
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- Rewards/rejected: -4.7561
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- Rewards/accuracies: 0.8806
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- Rewards/margins: 2.8063
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- Logps/rejected: -885.7299
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- Logps/chosen: -579.5609
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- Logits/rejected: 0.9913
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- Logits/chosen: -0.2160
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## Model description
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all_results.json
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{
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"epoch": 0.9993060374739764,
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"eval_logits/chosen": -
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"eval_logits/rejected":
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"eval_logps/chosen": -
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"eval_logps/rejected": -
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"eval_loss": 0.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen":
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"eval_rewards/margins":
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"eval_rewards/rejected":
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"eval_runtime":
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"eval_samples":
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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"total_flos": 0.0,
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"train_loss": 0.1315754380491045,
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"train_runtime": 20812.0317,
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{
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"epoch": 0.9993060374739764,
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"eval_logits/chosen": -0.21596238017082214,
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"eval_logits/rejected": 0.9912689924240112,
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"eval_logps/chosen": -579.5609130859375,
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"eval_logps/rejected": -885.7299194335938,
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"eval_loss": 0.2786034047603607,
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"eval_rewards/accuracies": 0.8806390762329102,
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"eval_rewards/chosen": -1.94976806640625,
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"eval_rewards/margins": 2.806307792663574,
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"eval_rewards/rejected": -4.756075859069824,
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"eval_runtime": 387.8423,
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"eval_samples": 8491,
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"eval_samples_per_second": 21.893,
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"eval_steps_per_second": 0.343,
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"total_flos": 0.0,
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"train_loss": 0.1315754380491045,
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"train_runtime": 20812.0317,
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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": "4.44.1",
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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": "4.44.1",
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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_logits/chosen": -
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"eval_logits/rejected":
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"eval_logps/chosen": -
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"eval_logps/rejected": -
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"eval_loss": 0.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen":
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"eval_rewards/margins":
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"eval_rewards/rejected":
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"eval_runtime":
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"eval_samples":
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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}
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{
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"epoch": 0.9993060374739764,
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"eval_logits/chosen": -0.21596238017082214,
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"eval_logits/rejected": 0.9912689924240112,
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"eval_logps/chosen": -579.5609130859375,
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"eval_logps/rejected": -885.7299194335938,
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"eval_loss": 0.2786034047603607,
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"eval_rewards/accuracies": 0.8806390762329102,
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"eval_rewards/chosen": -1.94976806640625,
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"eval_rewards/margins": 2.806307792663574,
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"eval_rewards/rejected": -4.756075859069824,
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"eval_runtime": 387.8423,
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"eval_samples": 8491,
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"eval_samples_per_second": 21.893,
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"eval_steps_per_second": 0.343
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}
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