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--- |
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license: apache-2.0 |
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base_model: google/mt5-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- tiagoblima/du-qg-squadv1_pt |
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model-index: |
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- name: mt5_base-qg-ap-oficial |
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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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# mt5_base-qg-ap-oficial |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the tiagoblima/du-qg-squadv1_pt dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3846 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06 |
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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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| 1.6703 | 1.0 | 2367 | 1.4647 | |
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| 1.4897 | 2.0 | 4734 | 1.4201 | |
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| 1.3982 | 3.0 | 7101 | 1.3960 | |
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| 1.3304 | 4.0 | 9468 | 1.3853 | |
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| 1.2909 | 5.0 | 11835 | 1.3846 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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