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: 3.1206
- Bleu: 7.9168
- Gen Len: 51.4945
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 |
|---|---|---|---|---|---|
| 4.5126 | 1.5748 | 200 | 2.7474 | 1.0891 | 120.8315 |
| 2.4414 | 3.1496 | 400 | 2.5120 | 5.0172 | 54.7623 |
| 1.724 | 4.7244 | 600 | 2.4090 | 5.2115 | 61.985 |
| 1.2755 | 6.2992 | 800 | 2.5519 | 7.0203 | 46.1414 |
| 0.97 | 7.8740 | 1000 | 2.5975 | 7.005 | 56.5266 |
| 0.7251 | 9.4488 | 1200 | 2.7918 | 7.6235 | 52.6841 |
| 0.584 | 11.0236 | 1400 | 2.8952 | 7.3273 | 49.9659 |
| 0.4358 | 12.5984 | 1600 | 3.1206 | 7.9168 | 51.4945 |
| 0.3619 | 14.1732 | 1800 | 3.2645 | 7.9096 | 50.5517 |
| 0.2933 | 15.7480 | 2000 | 3.3971 | 7.9015 | 49.6169 |
| 0.2447 | 17.3228 | 2200 | 3.5039 | 7.8441 | 49.6911 |
| 0.2151 | 18.8976 | 2400 | 3.5556 | 7.8198 | 50.1153 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
google/mt5-base