urdu-mt0-summarization
This model is a fine-tuned version of bigscience/mt0-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 23.8342
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: 1e-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 |
|---|---|---|---|
| 23.5822 | 1.0 | 16917 | 23.8346 |
| 23.5515 | 2.0 | 33834 | 23.8346 |
| 23.505 | 3.0 | 50751 | 23.8342 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
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