w2v-bert-2.0-arabic-4
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1952
- Wer: 0.1809
Model description
More information needed
Intended uses & limitations
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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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.5106 | 0.96 | 300 | 0.2448 | 0.2858 |
| 0.2479 | 1.92 | 600 | 0.1952 | 0.1809 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for whitefox123/w2v-bert-2.0-arabic-4
Base model
facebook/w2v-bert-2.0