easyword_model
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7704
- Bleu: 9.5346
- Gen Len: 6.2609
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: 2e-05
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 31 | 3.4204 | 4.1421 | 6.7329 |
| No log | 2.0 | 62 | 3.2154 | 4.8111 | 5.9255 |
| No log | 3.0 | 93 | 3.1073 | 5.8324 | 5.9317 |
| No log | 4.0 | 124 | 3.0242 | 8.0401 | 5.8944 |
| No log | 5.0 | 155 | 2.9829 | 5.0246 | 6.0435 |
| No log | 6.0 | 186 | 2.9363 | 8.2048 | 5.9752 |
| No log | 7.0 | 217 | 2.9103 | 5.9443 | 6.0186 |
| No log | 8.0 | 248 | 2.8834 | 6.0896 | 6.0373 |
| No log | 9.0 | 279 | 2.8792 | 6.0346 | 6.0621 |
| No log | 10.0 | 310 | 2.8772 | 6.0639 | 6.0497 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
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