mt5-base-finetuned-ar-sp
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2772
- Rouge-1: 23.01
- Rouge-2: 10.41
- Rouge-l: 20.94
- Gen Len: 19.0
- Bertscore: 71.56
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 |
|---|---|---|---|---|---|---|---|---|
| 4.1968 | 1.0 | 1352 | 3.5142 | 18.69 | 6.73 | 16.97 | 19.0 | 70.3 |
| 3.6932 | 2.0 | 2704 | 3.3799 | 20.67 | 8.38 | 18.75 | 19.0 | 70.82 |
| 3.5058 | 3.0 | 4056 | 3.3184 | 20.97 | 8.58 | 19.08 | 19.0 | 71.08 |
| 3.3832 | 4.0 | 5408 | 3.2851 | 21.59 | 8.94 | 19.63 | 19.0 | 71.28 |
| 3.2994 | 5.0 | 6760 | 3.2772 | 21.84 | 9.23 | 19.85 | 19.0 | 71.34 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
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