End of training
Browse files- README.md +16 -10
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +16 -0
- runs/Mar05_14-57-36_node-0/events.out.tfevents.1709680871.node-0.426906.1 +3 -0
README.md
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license: other
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base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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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-gemma-dpo
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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-gemma-dpo
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on the
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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.
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- Rewards/margins: 1.
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- Logps/rejected: -
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- Logps/chosen: -420.
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- Logits/rejected: 89.
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- Logits/chosen: 95.
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## Model description
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license: other
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base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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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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- argilla/dpo-mix-7k
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model-index:
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- name: zephyr-7b-gemma-dpo
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results: []
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# zephyr-7b-gemma-dpo
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on the argilla/dpo-mix-7k dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4621
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- Rewards/chosen: -2.9012
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- Rewards/rejected: -4.5213
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- Rewards/accuracies: 0.7292
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- Rewards/margins: 1.6201
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- Logps/rejected: -450.6970
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- Logps/chosen: -420.5302
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- Logits/rejected: 89.5207
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- Logits/chosen: 95.5635
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## Model description
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all_results.json
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{
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"epoch": 1.97,
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"train_loss": 0.38778070876231563,
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"train_runtime": 1146.4695,
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"train_samples": 6750,
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{
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"epoch": 1.97,
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"eval_logits/chosen": 95.56348419189453,
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"eval_logits/rejected": 89.52069091796875,
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"eval_logps/chosen": -420.5301818847656,
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"eval_logps/rejected": -450.6969909667969,
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"eval_loss": 0.462095707654953,
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"eval_rewards/accuracies": 0.7291666865348816,
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"eval_rewards/chosen": -2.9011573791503906,
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"eval_rewards/margins": 1.6201168298721313,
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"eval_rewards/rejected": -4.521275043487549,
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"eval_runtime": 47.0999,
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"eval_samples": 750,
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"eval_samples_per_second": 15.924,
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"eval_steps_per_second": 0.51,
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"train_loss": 0.38778070876231563,
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"train_runtime": 1146.4695,
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"train_samples": 6750,
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config.json
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"rope_theta": 10000.0,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache":
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"vocab_size": 256000
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}
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"rope_theta": 10000.0,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 256000
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}
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eval_results.json
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{
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"epoch": 1.97,
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"eval_logits/chosen": 95.56348419189453,
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"eval_logits/rejected": 89.52069091796875,
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"eval_logps/chosen": -420.5301818847656,
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"eval_logps/rejected": -450.6969909667969,
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"eval_loss": 0.462095707654953,
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"eval_rewards/accuracies": 0.7291666865348816,
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"eval_rewards/chosen": -2.9011573791503906,
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"eval_rewards/margins": 1.6201168298721313,
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"eval_rewards/rejected": -4.521275043487549,
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"eval_runtime": 47.0999,
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"eval_samples": 750,
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"eval_samples_per_second": 15.924,
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"eval_steps_per_second": 0.51
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}
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runs/Mar05_14-57-36_node-0/events.out.tfevents.1709680871.node-0.426906.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ed54db74f5738eb2b657d99989a43f5b748bb152cc030aac7083c5c5264deeb
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size 815
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