End of training
Browse files- README.md +16 -10
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +12 -12
- runs/Apr27_13-04-12_gcp002/events.out.tfevents.1714226630.gcp002.2844214.1 +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
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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: -
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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: -453.
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- Logps/chosen: -
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- Logits/rejected:
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- Logits/chosen: 96.
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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: 0.4683
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- Rewards/chosen: -3.0221
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- Rewards/rejected: -4.6813
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- Rewards/accuracies: 0.7708
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- Rewards/margins: 1.6592
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- Logps/rejected: -453.7782
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- Logps/chosen: -423.6228
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- Logits/rejected: 90.9822
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- Logits/chosen: 96.7158
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## Model description
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all_results.json
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{
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"epoch": 1.971563981042654,
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"total_flos": 0.0,
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"train_loss": 0.3921648321243433,
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"train_runtime": 1190.3032,
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{
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"epoch": 1.971563981042654,
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"eval_logits/chosen": 96.71578216552734,
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"eval_logits/rejected": 90.98221588134766,
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"eval_logps/chosen": -423.6227722167969,
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"eval_logps/rejected": -453.7782287597656,
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"eval_loss": 0.468290776014328,
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"eval_rewards/accuracies": 0.7708333134651184,
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"eval_rewards/chosen": -3.0221338272094727,
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"eval_rewards/margins": 1.6591955423355103,
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"eval_rewards/rejected": -4.681329727172852,
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"eval_runtime": 58.6185,
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"eval_samples": 750,
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"eval_samples_per_second": 12.795,
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"eval_steps_per_second": 0.409,
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"total_flos": 0.0,
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"train_loss": 0.3921648321243433,
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"train_runtime": 1190.3032,
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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": "4.40.1",
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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": "4.40.1",
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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": 1.971563981042654,
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"eval_logits/chosen": 96.
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"eval_logits/rejected": 90.
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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": -3.
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"eval_rewards/margins": 1.
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"eval_rewards/rejected": -
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"eval_runtime":
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"eval_samples": 750,
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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": 1.971563981042654,
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"eval_logits/chosen": 96.71578216552734,
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"eval_logits/rejected": 90.98221588134766,
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"eval_logps/chosen": -423.6227722167969,
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"eval_logps/rejected": -453.7782287597656,
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"eval_loss": 0.468290776014328,
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"eval_rewards/accuracies": 0.7708333134651184,
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"eval_rewards/chosen": -3.0221338272094727,
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"eval_rewards/margins": 1.6591955423355103,
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"eval_rewards/rejected": -4.681329727172852,
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"eval_runtime": 58.6185,
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"eval_samples": 750,
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"eval_samples_per_second": 12.795,
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"eval_steps_per_second": 0.409
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}
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runs/Apr27_13-04-12_gcp002/events.out.tfevents.1714226630.gcp002.2844214.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:66c87c7f080f1633e045b5954eafce01ef8cb719091ee8e0632700867593562a
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size 815
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