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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: testing_checkpoint_new |
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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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# testing_checkpoint_new |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2519 |
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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: 0.0003 |
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- train_batch_size: 5 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.0817 | 5.0 | 20 | 0.2306 | |
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| 0.0947 | 10.0 | 40 | 0.2302 | |
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| 0.0467 | 15.0 | 60 | 0.2435 | |
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| 0.0225 | 20.0 | 80 | 0.2462 | |
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| 0.0162 | 25.0 | 100 | 0.2500 | |
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| 0.0129 | 30.0 | 120 | 0.2519 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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