End of training
Browse files- README.md +16 -10
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +16 -0
- runs/Mar28_19-45-13_batch-block1-0100/events.out.tfevents.1711684610.batch-block1-0100.2604988.1 +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: -448.
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- Logps/chosen: -
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- Logits/rejected: 88.
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- Logits/chosen: 94.
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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: 0.4682
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- Rewards/chosen: -2.8383
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- Rewards/rejected: -4.4417
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- Rewards/accuracies: 0.7396
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- Rewards/margins: 1.6034
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- Logps/rejected: -448.4524
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- Logps/chosen: -418.7875
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- Logits/rejected: 88.1175
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- Logits/chosen: 94.0612
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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": 0.3924295770434233,
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"train_runtime": 3265.4264,
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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": 94.06119537353516,
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"eval_logits/rejected": 88.1175308227539,
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"eval_logps/chosen": -418.7874755859375,
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"eval_logps/rejected": -448.4524230957031,
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"eval_loss": 0.46823105216026306,
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"eval_rewards/accuracies": 0.7395833134651184,
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"eval_rewards/chosen": -2.838282823562622,
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"eval_rewards/margins": 1.6033902168273926,
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"eval_rewards/rejected": -4.4416728019714355,
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"eval_runtime": 57.2277,
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"eval_samples": 750,
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"eval_samples_per_second": 13.106,
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"eval_steps_per_second": 0.419,
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"train_loss": 0.3924295770434233,
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"train_runtime": 3265.4264,
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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": "4.39.0.dev0",
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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": "4.39.0.dev0",
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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": 94.06119537353516,
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"eval_logits/rejected": 88.1175308227539,
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"eval_logps/chosen": -418.7874755859375,
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"eval_logps/rejected": -448.4524230957031,
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"eval_loss": 0.46823105216026306,
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"eval_rewards/accuracies": 0.7395833134651184,
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"eval_rewards/chosen": -2.838282823562622,
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"eval_rewards/margins": 1.6033902168273926,
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"eval_rewards/rejected": -4.4416728019714355,
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"eval_runtime": 57.2277,
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"eval_samples": 750,
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"eval_samples_per_second": 13.106,
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"eval_steps_per_second": 0.419
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}
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runs/Mar28_19-45-13_batch-block1-0100/events.out.tfevents.1711684610.batch-block1-0100.2604988.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb93784ce00b098f78fef7f4a0e80a87baf31c59631ea43262843dad636595c7
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size 815
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