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wav2vec2-xls-r-300m-Tr-med-CommonVoice8-Tr-med-CommonVoice8
This model is a fine-tuned version of emre/wav2vec2-xls-r-300m-Tr-med-CommonVoice8 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.2708
- Wer: 0.5010
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: 300
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
2.0402 | 0.67 | 500 | 0.3354 | 0.5681 |
0.7265 | 1.33 | 1000 | 0.3181 | 0.5444 |
0.6858 | 2.0 | 1500 | 0.3044 | 0.5322 |
0.6537 | 2.66 | 2000 | 0.2911 | 0.5217 |
0.6337 | 3.33 | 2500 | 0.2874 | 0.5164 |
0.6111 | 3.99 | 3000 | 0.2758 | 0.5059 |
0.5815 | 4.66 | 3500 | 0.2708 | 0.5010 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.18.1
- Tokenizers 0.10.3