NicholasCorrado
commited on
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End of training
Browse files- README.md +16 -10
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +12 -12
README.md
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@@ -3,9 +3,15 @@ library_name: transformers
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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-uf-dpo-2e
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results: []
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@@ -16,17 +22,17 @@ should probably proofread and complete it, then remove this comment. -->
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# zephyr-7b-uf-dpo-2e
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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: 1.
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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: 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-uf-dpo-2e
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results: []
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# zephyr-7b-uf-dpo-2e
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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: 0.5017
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- Rewards/chosen: -1.6430
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- Rewards/rejected: -2.9109
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- Rewards/accuracies: 0.7891
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- Rewards/margins: 1.2679
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- Logps/rejected: -553.7540
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- Logps/chosen: -426.9287
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- Logits/rejected: 2.3524
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- Logits/chosen: 1.4100
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## Model description
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all_results.json
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{
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"epoch": 2.0,
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"total_flos": 0.0,
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"train_loss": 0.4685918840903119,
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"train_runtime": 13863.6386,
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{
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"epoch": 2.0,
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"eval_logits/chosen": 1.4099805355072021,
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"eval_logits/rejected": 2.3523759841918945,
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"eval_logps/chosen": -426.9287414550781,
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"eval_logps/rejected": -553.7540283203125,
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"eval_loss": 0.5016762614250183,
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"eval_rewards/accuracies": 0.7890625,
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"eval_rewards/chosen": -1.6429880857467651,
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"eval_rewards/margins": 1.267931342124939,
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"eval_rewards/rejected": -2.910919189453125,
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"eval_runtime": 92.7226,
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"eval_samples": 2000,
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"eval_samples_per_second": 21.57,
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"eval_steps_per_second": 0.345,
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"total_flos": 0.0,
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"train_loss": 0.4685918840903119,
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"train_runtime": 13863.6386,
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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": 2.0,
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"eval_logits/chosen": 1.
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"eval_logits/rejected": 2.
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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": -1.
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"eval_rewards/margins": 1.
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"eval_rewards/rejected": -2.
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"eval_runtime":
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"eval_samples": 2000,
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"eval_samples_per_second": 21.
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"eval_steps_per_second": 0.
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}
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{
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"epoch": 2.0,
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"eval_logits/chosen": 1.4099805355072021,
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"eval_logits/rejected": 2.3523759841918945,
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"eval_logps/chosen": -426.9287414550781,
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"eval_logps/rejected": -553.7540283203125,
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"eval_loss": 0.5016762614250183,
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"eval_rewards/accuracies": 0.7890625,
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"eval_rewards/chosen": -1.6429880857467651,
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"eval_rewards/margins": 1.267931342124939,
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"eval_rewards/rejected": -2.910919189453125,
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"eval_runtime": 92.7226,
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"eval_samples": 2000,
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"eval_samples_per_second": 21.57,
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"eval_steps_per_second": 0.345
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}
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