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MarianMix_en-10
This model is a fine-tuned version of Helsinki-NLP/opus-tatoeba-en-ja on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0752
- Bleu: 14.601
- Gen Len: 45.8087
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: 32
- eval_batch_size: 32
- seed: 99
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.1136 | 0.44 | 500 | 2.0044 | 0.2655 | 109.0201 |
| 1.1422 | 0.89 | 1000 | 1.7516 | 1.4123 | 71.0 |
| 0.9666 | 1.33 | 1500 | 1.5219 | 3.6611 | 64.6888 |
| 0.8725 | 1.78 | 2000 | 1.3606 | 4.6539 | 77.1641 |
| 0.7655 | 2.22 | 2500 | 1.2586 | 8.3456 | 60.3837 |
| 0.7149 | 2.67 | 3000 | 1.1953 | 11.2247 | 50.5921 |
| 0.6719 | 3.11 | 3500 | 1.1541 | 10.4303 | 54.3776 |
| 0.6265 | 3.56 | 4000 | 1.1186 | 13.3231 | 48.283 |
| 0.6157 | 4.0 | 4500 | 1.0929 | 13.8467 | 46.569 |
| 0.5736 | 4.44 | 5000 | 1.0848 | 14.2731 | 45.5035 |
| 0.5683 | 4.89 | 5500 | 1.0752 | 14.601 | 45.8087 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.17.0
- Tokenizers 0.10.3
