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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/qg_squad_v1_pt |
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model-index: |
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- name: mt5_base-qg-ap-nopeft |
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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-nopeft |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the tiagoblima/qg_squad_v1_pt dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5832 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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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| 1.8875 | 1.0 | 1615 | 1.6600 | |
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| 1.7353 | 2.0 | 3231 | 1.6089 | |
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| 1.6382 | 3.0 | 4847 | 1.5926 | |
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| 1.5789 | 4.0 | 6463 | 1.5868 | |
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| 1.5343 | 5.0 | 8075 | 1.5832 | |
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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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