fine_tuned_modelsFinal_1
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: 0.1062
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1728
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5362 | 18.35 | 500 | 0.1206 |
| 0.0438 | 36.7 | 1000 | 0.1025 |
| 0.0205 | 55.05 | 1500 | 0.1122 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Tokenizers 0.15.0
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Base model
facebook/m2m100_418M