End of training
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README.md
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---
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base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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library_name: peft
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license: other
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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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@@ -16,17 +19,17 @@ 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
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It achieves the following results on the evaluation set:
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- Loss: 97.
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- Rewards/chosen: 0.0424
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- Rewards/rejected: 0.0341
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.0083
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- Logps/rejected: -2.
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- Logps/chosen: -2.
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- Logits/rejected: 384.
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- Logits/chosen: 412.
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## Model description
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---
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base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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datasets:
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- RedaAlami/PKU-SafeRLHF-Processed
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library_name: peft
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license: other
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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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# 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 RedaAlami/PKU-SafeRLHF-Processed dataset.
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It achieves the following results on the evaluation set:
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- Loss: 97.2382
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- Rewards/chosen: 0.0424
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- Rewards/rejected: 0.0341
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- Rewards/accuracies: 0.6062
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- Rewards/margins: 0.0083
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- Logps/rejected: -2.3880
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- Logps/chosen: -2.3290
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- Logits/rejected: 384.5392
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- Logits/chosen: 412.5483
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## Model description
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all_results.json
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{
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"epoch": 1.9969834087481146,
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"total_flos": 0.0,
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"train_loss": 98.05829228519313,
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"train_runtime": 4353.733,
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{
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"epoch": 1.9969834087481146,
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"eval_logits/chosen": 412.54827880859375,
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"eval_logits/rejected": 384.53924560546875,
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"eval_logps/chosen": -2.328974485397339,
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"eval_logps/rejected": -2.3880226612091064,
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"eval_loss": 97.23818969726562,
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"eval_rewards/accuracies": 0.6061643958091736,
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"eval_rewards/chosen": 0.042412400245666504,
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"eval_rewards/margins": 0.00826968066394329,
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"eval_rewards/rejected": 0.034142717719078064,
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"eval_runtime": 96.0326,
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"eval_samples": 4656,
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"eval_samples_per_second": 48.484,
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"eval_steps_per_second": 1.52,
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"total_flos": 0.0,
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"train_loss": 98.05829228519313,
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"train_runtime": 4353.733,
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eval_results.json
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{
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"epoch": 1.
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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":
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen":
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"eval_rewards/margins": 0.
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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":
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}
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{
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+
"epoch": 1.9969834087481146,
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"eval_logits/chosen": 412.54827880859375,
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"eval_logits/rejected": 384.53924560546875,
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"eval_logps/chosen": -2.328974485397339,
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"eval_logps/rejected": -2.3880226612091064,
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"eval_loss": 97.23818969726562,
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"eval_rewards/accuracies": 0.6061643958091736,
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"eval_rewards/chosen": 0.042412400245666504,
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"eval_rewards/margins": 0.00826968066394329,
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"eval_rewards/rejected": 0.034142717719078064,
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"eval_runtime": 96.0326,
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"eval_samples": 4656,
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"eval_samples_per_second": 48.484,
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"eval_steps_per_second": 1.52
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}
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runs/Jul31_17-29-05_ip-172-16-2-184.us-west-2.compute.internal/events.out.tfevents.1722451516.ip-172-16-2-184.us-west-2.compute.internal.23039.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ffef7c05c4adb4652f9c4e25c9c8b1c3b06477fdf7be8c07558d7756bfc6b81
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size 828
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