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mt5-base-finetuned-modernisa
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3179
- Bleu: 81.9164
- Gen Len: 11.1876
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: 0.0001
- 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 | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.4588 | 0.35 | 10000 | 0.4023 | 78.1616 | 11.1577 |
| 0.3982 | 0.71 | 20000 | 0.3584 | 79.3456 | 11.144 |
| 0.3465 | 1.06 | 30000 | 0.3424 | 80.4057 | 11.1625 |
| 0.3236 | 1.42 | 40000 | 0.3349 | 80.9978 | 11.1869 |
| 0.2983 | 1.77 | 50000 | 0.3243 | 81.5426 | 11.1925 |
| 0.278 | 2.13 | 60000 | 0.3210 | 81.794 | 11.2047 |
| 0.2584 | 2.48 | 70000 | 0.3205 | 81.8086 | 11.1986 |
| 0.2609 | 2.84 | 80000 | 0.3179 | 81.9164 | 11.1876 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.15.2.dev0
- Tokenizers 0.10.3
