m2m-amharic-antonym
This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3957
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: 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 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Base model
facebook/m2m100_418M