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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- the_squad_qg |
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model-index: |
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- name: t5-small-qg |
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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-small-qg |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the the_squad_qg dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1544 |
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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: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 512 |
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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: 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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| 3.3644 | 2.71 | 100 | 2.3436 | |
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| 2.4504 | 5.42 | 200 | 2.2140 | |
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| 2.3501 | 8.14 | 300 | 2.1544 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 2.0.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.11.0 |
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