End of training
Browse files- README.md +13 -1
- all_results.json +6 -6
- eval_results.json +3 -3
- train_results.json +3 -3
- trainer_state.json +3 -3
README.md
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@@ -3,6 +3,8 @@ library_name: transformers
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license: gemma
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base_model: google/gemma-2-9b-it
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tags:
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- trl
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- dpo
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- llama-factory
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@@ -18,7 +20,17 @@ should probably proofread and complete it, then remove this comment. -->
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# gemma-simpo-reproduction
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This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on
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## Model description
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license: gemma
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base_model: google/gemma-2-9b-it
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tags:
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- llama-factory
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- full
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- trl
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- dpo
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- llama-factory
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# gemma-simpo-reproduction
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This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on the mlfoundations-dev/gemma2-ultrafeedback-armorm dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0558
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- Rewards/chosen: -17.0597
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- Rewards/rejected: -21.9498
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- Rewards/accuracies: 0.7584
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- Rewards/margins: 4.8901
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- Logps/rejected: -2.1950
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- Logps/chosen: -1.7060
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- Logits/rejected: -18.1137
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- Logits/chosen: -18.2041
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## Model description
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all_results.json
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"eval_rewards/chosen": -17.05968475341797,
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"eval_rewards/margins": 4.890104293823242,
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"eval_rewards/rejected": -21.949787139892578,
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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"total_flos": 227674672136192.0,
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"train_loss": 0.0,
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"train_runtime": 1.
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"eval_rewards/chosen": -17.05968475341797,
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"eval_rewards/margins": 4.890104293823242,
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"eval_rewards/rejected": -21.949787139892578,
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"eval_runtime": 703.5263,
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"eval_samples_per_second": 4.234,
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"eval_steps_per_second": 1.059,
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"total_flos": 227674672136192.0,
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"train_loss": 0.0,
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"train_runtime": 1.3679,
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"train_samples_per_second": 41370.599,
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"train_steps_per_second": 323.128
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}
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eval_results.json
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"eval_rewards/chosen": -17.05968475341797,
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"eval_rewards/margins": 4.890104293823242,
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"eval_rewards/rejected": -21.949787139892578,
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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"eval_rewards/chosen": -17.05968475341797,
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"eval_rewards/margins": 4.890104293823242,
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"eval_rewards/rejected": -21.949787139892578,
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"eval_runtime": 703.5263,
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"eval_samples_per_second": 4.234,
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"eval_steps_per_second": 1.059
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}
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train_results.json
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"epoch": 0.9997172745264349,
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"total_flos": 227674672136192.0,
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"train_loss": 0.0,
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"train_runtime": 1.
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"epoch": 0.9997172745264349,
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"total_flos": 227674672136192.0,
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"train_loss": 0.0,
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"train_runtime": 1.3679,
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"train_samples_per_second": 41370.599,
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"train_steps_per_second": 323.128
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}
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trainer_state.json
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"step": 442,
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"total_flos": 227674672136192.0,
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"train_loss": 0.0,
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"train_runtime": 1.
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"train_samples_per_second":
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"train_steps_per_second":
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}
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],
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"logging_steps": 1,
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"step": 442,
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"total_flos": 227674672136192.0,
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"train_loss": 0.0,
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"train_runtime": 1.3679,
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"train_samples_per_second": 41370.599,
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"train_steps_per_second": 323.128
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}
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],
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"logging_steps": 1,
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