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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: t5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: confidence-feedback |
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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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# confidence-feedback |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9663 |
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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-05 |
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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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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.5697 | 1.0 | 201 | 2.3225 | |
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| 2.3371 | 2.0 | 402 | 2.1718 | |
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| 2.1322 | 3.0 | 603 | 2.1028 | |
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| 1.9953 | 4.0 | 804 | 2.0633 | |
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| 1.9157 | 5.0 | 1005 | 2.0371 | |
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| 1.8617 | 6.0 | 1206 | 2.0340 | |
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| 1.7933 | 7.0 | 1407 | 2.0254 | |
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| 1.7534 | 8.0 | 1608 | 2.0297 | |
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| 1.6639 | 9.0 | 1809 | 2.0330 | |
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| 1.6649 | 10.0 | 2010 | 2.0324 | |
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### Framework versions |
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- Transformers 4.54.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
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