w2v-bert-2.0-marathi-practice-CV16.0
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_16_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6493
- Wer: 0.8590
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: 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0394 | 5.7554 | 400 | 0.4974 | 0.8968 |
| 0.0492 | 11.5108 | 800 | 0.5152 | 0.8860 |
| 0.0134 | 17.2662 | 1200 | 0.5789 | 0.8739 |
| 0.0018 | 23.0216 | 1600 | 0.6334 | 0.8613 |
| 0.0002 | 28.7770 | 2000 | 0.6493 | 0.8590 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
facebook/w2v-bert-2.0