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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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- t5_squad |
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model-index: |
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- name: t5-simple-qg-hu |
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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-simple-qg-hu |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the t5_squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7546 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 256 |
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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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 7.2425 | 1.35 | 100 | 2.5868 | |
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| 2.9755 | 2.71 | 200 | 1.9272 | |
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| 2.3029 | 4.06 | 300 | 1.7986 | |
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| 2.176 | 5.42 | 400 | 1.7645 | |
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| 2.1273 | 6.77 | 500 | 1.7546 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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