t5-simple-qg-hu
This model is a fine-tuned version of google/mt5-base on the t5_squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.7546
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.2425 | 1.35 | 100 | 2.5868 |
| 2.9755 | 2.71 | 200 | 1.9272 |
| 2.3029 | 4.06 | 300 | 1.7986 |
| 2.176 | 5.42 | 400 | 1.7645 |
| 2.1273 | 6.77 | 500 | 1.7546 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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Model tree for mrbalazs5/t5-simple-qg-hu
Base model
google/mt5-base