| --- |
| base_model: facebook/m2m100_418M |
| library_name: transformers |
| license: mit |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: results |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # results |
|
|
| This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6583 |
|
|
| ## 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: 5e-06 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 15 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 63 | 4.2641 | |
| | No log | 2.0 | 126 | 3.7198 | |
| | No log | 3.0 | 189 | 3.3903 | |
| | No log | 4.0 | 252 | 3.1066 | |
| | No log | 5.0 | 315 | 2.8501 | |
| | No log | 6.0 | 378 | 2.6187 | |
| | No log | 7.0 | 441 | 2.4137 | |
| | 3.4823 | 8.0 | 504 | 2.2344 | |
| | 3.4823 | 9.0 | 567 | 2.0787 | |
| | 3.4823 | 10.0 | 630 | 1.9493 | |
| | 3.4823 | 11.0 | 693 | 1.8437 | |
| | 3.4823 | 12.0 | 756 | 1.7626 | |
| | 3.4823 | 13.0 | 819 | 1.7043 | |
| | 3.4823 | 14.0 | 882 | 1.6700 | |
| | 3.4823 | 15.0 | 945 | 1.6583 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.5.0+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.19.1 |
|
|
