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mt5-base-finetuned-urdu
This model is a fine-tuned version of google/mt5-base on Urdu subset the xlsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.8954
- Rouge-1: 28.84
- Rouge-2: 13.87
- Rouge-l: 25.63
- Gen Len: 19.0
- Bertscore: 71.31
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | Bertscore |
|---|---|---|---|---|---|---|---|---|
| 3.6205 | 1.0 | 2114 | 3.0871 | 26.45 | 11.4 | 23.26 | 19.0 | 70.76 |
| 3.2169 | 2.0 | 4228 | 2.9830 | 27.19 | 11.91 | 23.95 | 19.0 | 70.92 |
| 3.0787 | 3.0 | 6342 | 2.9284 | 27.9 | 12.57 | 24.62 | 18.99 | 71.13 |
| 2.9874 | 4.0 | 8456 | 2.9049 | 28.28 | 12.91 | 24.99 | 18.99 | 71.28 |
| 2.9232 | 5.0 | 10570 | 2.8954 | 28.65 | 13.17 | 25.32 | 18.99 | 71.39 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
