| --- |
| library_name: transformers |
| license: mit |
| base_model: facebook/m2m100_418M |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: m2m-amharic-synonym-try |
| 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. --> |
|
|
| # m2m-amharic-synonym-try |
|
|
| 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: 0.4419 |
|
|
| ## 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: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 100 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.3881 | 1.0 | 151 | 2.1291 | |
| | 0.499 | 2.0 | 302 | 0.4917 | |
| | 0.4266 | 3.0 | 453 | 0.4488 | |
| | 0.3817 | 4.0 | 604 | 0.4405 | |
| | 0.3598 | 5.0 | 755 | 0.4365 | |
| | 0.332 | 6.0 | 906 | 0.4368 | |
| | 0.2999 | 7.0 | 1057 | 0.4419 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.47.0 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
