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testing_pretrained_tamasheq_only_FE
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8742
- Wer: 0.8333
- Cer: 0.3145
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 350
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 6.3383 | 35.29 | 300 | 2.9420 | 1.0 | 1.0 |
| 2.8426 | 70.59 | 600 | 2.7381 | 1.0 | 1.0 |
| 2.7564 | 105.88 | 900 | 2.7200 | 1.0 | 1.0 |
| 2.5802 | 141.18 | 1200 | 1.9677 | 1.0 | 0.7640 |
| 1.556 | 176.47 | 1500 | 1.4901 | 0.8481 | 0.3166 |
| 0.9319 | 211.76 | 1800 | 1.6803 | 0.8481 | 0.3067 |
| 0.7365 | 247.06 | 2100 | 1.7447 | 0.8481 | 0.3110 |
| 0.6363 | 282.35 | 2400 | 1.8439 | 0.8370 | 0.3110 |
| 0.5882 | 317.65 | 2700 | 1.8742 | 0.8333 | 0.3145 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
