20220517-045629
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: 0.3700
- Wer: 0.4581
- Cer: 0.0854
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: 8
- eval_batch_size: 8
- seed: 1339
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 5.238 | 0.29 | 200 | 3.1770 | 1.0 | 1.0 |
| 2.165 | 0.59 | 400 | 0.7309 | 0.7144 | 0.1543 |
| 0.7022 | 0.88 | 600 | 0.4614 | 0.5521 | 0.1058 |
| 0.5114 | 1.17 | 800 | 0.4202 | 0.4998 | 0.0965 |
| 0.4482 | 1.47 | 1000 | 0.3786 | 0.4645 | 0.0877 |
| 0.4082 | 1.76 | 1200 | 0.3700 | 0.4581 | 0.0854 |
Framework versions
- Transformers 4.18.0.dev0
- Pytorch 1.10.0+cu113
- Datasets 2.1.0
- Tokenizers 0.11.6