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--- |
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license: mit |
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base_model: unicamp-dl/ptt5-large-t5-vocab |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5_large-qg-aas |
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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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# t5_large-qg-aas |
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This model is a fine-tuned version of [unicamp-dl/ptt5-large-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-large-t5-vocab) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.9208 |
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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: 0.005 |
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- train_batch_size: 64 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 6.0267 | 1.0 | 808 | 6.6599 | |
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| 5.1565 | 2.0 | 1616 | 5.7159 | |
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| 4.7181 | 3.0 | 2424 | 5.2321 | |
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| 4.4869 | 4.0 | 3232 | 4.9931 | |
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| 4.4539 | 5.0 | 4040 | 4.9208 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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