tst-translation
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: 2.8421
- Bleu: 13.1948
- Gen Len: 49.9179
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.4257 | 1.9900 | 400 | 2.1087 | 4.1008 | 77.8284 |
| 1.8571 | 3.9801 | 800 | 1.9292 | 8.6198 | 61.1418 |
| 1.2467 | 5.9701 | 1200 | 1.9779 | 10.7074 | 48.3184 |
| 0.8749 | 7.9602 | 1600 | 2.0539 | 11.8538 | 49.3483 |
| 0.6141 | 9.9502 | 2000 | 2.1948 | 12.4452 | 51.1269 |
| 0.4446 | 11.9403 | 2400 | 2.3902 | 12.3052 | 48.0995 |
| 0.3251 | 13.9303 | 2800 | 2.5698 | 12.5824 | 49.1244 |
| 0.2501 | 15.9204 | 3200 | 2.6631 | 13.0619 | 50.6095 |
| 0.1986 | 17.9104 | 3600 | 2.7877 | 13.0557 | 51.1443 |
| 0.1692 | 19.9005 | 4000 | 2.8421 | 13.1948 | 49.9179 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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