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wav2vec2-large-xls-r-300m-gl-jupyter7
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:
- Loss: 0.1004
- Wer: 0.0647
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: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.8074 | 3.36 | 400 | 0.4882 | 0.5245 |
| 0.2396 | 6.72 | 800 | 0.1335 | 0.1524 |
| 0.0876 | 10.08 | 1200 | 0.1216 | 0.1199 |
| 0.0597 | 13.44 | 1600 | 0.1289 | 0.1241 |
| 0.0449 | 16.8 | 2000 | 0.1164 | 0.1028 |
| 0.0372 | 20.17 | 2400 | 0.1270 | 0.1023 |
| 0.0319 | 23.53 | 2800 | 0.1111 | 0.0966 |
| 0.0286 | 26.89 | 3200 | 0.1142 | 0.0925 |
| 0.0246 | 30.25 | 3600 | 0.1142 | 0.0926 |
| 0.0235 | 33.61 | 4000 | 0.1075 | 0.0836 |
| 0.0181 | 36.97 | 4400 | 0.1083 | 0.0837 |
| 0.0151 | 40.33 | 4800 | 0.1140 | 0.0768 |
| 0.014 | 43.69 | 5200 | 0.1015 | 0.0748 |
| 0.0111 | 47.06 | 5600 | 0.1023 | 0.0702 |
| 0.0093 | 50.42 | 6000 | 0.1028 | 0.0708 |
| 0.0078 | 53.78 | 6400 | 0.0999 | 0.0645 |
| 0.0071 | 57.14 | 6800 | 0.1004 | 0.0647 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.1+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3
