test1000
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3276
- Wer: 1.0
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: 0.0001
- 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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 13.8034 | 3.22 | 100 | 8.1488 | 1.0 |
| 5.6013 | 6.44 | 200 | 3.6813 | 1.0 |
| 3.4696 | 9.67 | 300 | 3.3448 | 1.0 |
| 3.396 | 12.89 | 400 | 3.3276 | 1.0 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.10.0+cu102
- Datasets 1.4.1
- Tokenizers 0.12.1
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