may-asr
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Wer: 0.6811
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: 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: 10
Training results
| Training Loss | Epoch | Step | Wer |
|---|---|---|---|
| 5.7712 | 3.2 | 400 | 0.9727 |
| 1.0877 | 6.4 | 800 | 0.7461 |
| 0.7746 | 9.6 | 1200 | 0.6811 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.13.3
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