results
This model is a fine-tuned version of nafisehNik/mt5-persian-summary on the pn_summary dataset. It achieves the following results on the evaluation set:
- Loss: 0.2449
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.28 | 1.0 | 18455 | 0.2519 |
| 0.2723 | 2.0 | 36910 | 0.2463 |
| 0.2656 | 3.0 | 55365 | 0.2449 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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nafisehNik/mt5-persian-summary