| --- |
| library_name: transformers |
| license: mit |
| base_model: facebook/m2m100_418M |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: m2m-amharic-antonym |
| 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-antonym |
|
|
| 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: 0.3957 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 100 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 5.337 | 1.0 | 60 | 5.0730 | |
| | 3.3046 | 2.0 | 120 | 3.0637 | |
| | 1.4945 | 3.0 | 180 | 1.3380 | |
| | 0.5866 | 4.0 | 240 | 0.5557 | |
| | 0.4139 | 5.0 | 300 | 0.4218 | |
| | 0.325 | 6.0 | 360 | 0.3970 | |
| | 0.2923 | 7.0 | 420 | 0.3934 | |
| | 0.2572 | 8.0 | 480 | 0.3899 | |
| | 0.224 | 9.0 | 540 | 0.3937 | |
| | 0.2201 | 10.0 | 600 | 0.3957 | |
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| ### Framework versions |
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|
| - Transformers 4.44.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.19.1 |
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|
