m2m100-lg-to-en-v4
This model is a fine-tuned version of MubarakB/m2m100-lg-to-en-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5477
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: 16
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8978 | 1.0 | 119 | 0.5258 |
| 0.4898 | 2.0 | 238 | 0.5082 |
| 0.4377 | 3.0 | 357 | 0.5151 |
| 0.367 | 4.0 | 476 | 0.5277 |
| 0.3086 | 5.0 | 595 | 0.5477 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
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