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wav2vec2-large-xls-r-sw-300m-tr-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5041
- Wer: 0.97
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: 50
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
6.5156 | 0.4 | 50 | 2.9989 | 1.0 |
2.8791 | 0.8 | 100 | 2.8756 | 1.0 |
2.8202 | 1.2 | 150 | 2.8188 | 1.0 |
2.7121 | 1.6 | 200 | 2.4545 | 1.0 |
1.8877 | 2.0 | 250 | 1.4347 | 1.0 |
0.9731 | 2.4 | 300 | 0.7983 | 0.995 |
0.659 | 2.8 | 350 | 0.6360 | 0.9925 |
0.4981 | 3.2 | 400 | 0.5633 | 0.9675 |
0.4125 | 3.6 | 450 | 0.5149 | 0.965 |
0.3815 | 4.0 | 500 | 0.5041 | 0.97 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3