w2v2-bert-Wolof-1-hour-kallaama-dataset
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1408
- Wer: 0.8229
- Cer: 0.4237
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: 0.0003
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.39 | 14.8148 | 200 | 2.1002 | 0.8772 | 0.4412 |
| 0.9105 | 29.6296 | 400 | 3.2675 | 0.8088 | 0.4193 |
| 0.1322 | 44.4444 | 600 | 5.1408 | 0.8229 | 0.4237 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.19.1
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Base model
facebook/w2v-bert-2.0