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wiki_lingua-hi-8-3-5.6e-05-mt5-small-finetuned
This model is a fine-tuned version of google/mt5-small on the wiki_lingua dataset. It achieves the following results on the evaluation set:
- Loss: 2.4454
- Rouge1: 1.3405
- Rouge2: 0.3957
- Rougel: 1.3311
- Rougelsum: 1.3354
Baseline Result
- Rouge1: 4.18
- Rouge2: 1.31
- Rougel: 4.08
- Rougelsum: 4.07
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.5276 | 1.0 | 841 | 2.5614 | 1.3305 | 0.3186 | 1.3393 | 1.345 |
| 3.0712 | 2.0 | 1682 | 2.4707 | 1.2656 | 0.2856 | 1.2595 | 1.2631 |
| 2.9584 | 3.0 | 2523 | 2.4454 | 1.3405 | 0.3957 | 1.3311 | 1.3354 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
