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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: zera09/long_t5_4 |
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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: dpo_t5_2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# dpo_t5_2 |
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This model is a fine-tuned version of [zera09/long_t5_4](https://huggingface.co/zera09/long_t5_4) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.3486 |
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- eval_runtime: 189.2688 |
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- eval_samples_per_second: 8.454 |
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- eval_steps_per_second: 1.057 |
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- eval_rewards/chosen: 0.4122 |
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- eval_rewards/rejected: -0.7810 |
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- eval_rewards/accuracies: 0.8781 |
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- eval_rewards/margins: 1.1932 |
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- eval_logps/rejected: -6.7047 |
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- eval_logps/chosen: -26.4297 |
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- eval_logits/rejected: -19.0942 |
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- eval_logits/chosen: -18.7712 |
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- epoch: 2.3 |
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- step: 460 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- training_steps: 1000 |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.2.1 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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