UrduSum20k
This model is a fine-tuned version of ahmed0189/mT5-Arabic-text-summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7255
- Rouge1: 0.3167
- Rouge2: 0.0125
- Rougel: 0.3167
- Rougelsum: 0.3167
- Gen Len: 36.2406
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.2348 | 1.0 | 6000 | 2.7255 | 0.3167 | 0.0125 | 0.3167 | 0.3167 | 36.2406 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3
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