output
This model is a fine-tuned version of alamsher/wav2vec2-large-xlsr-53-common-voice-sw on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.0819
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3088 | 0.27 | 150 | inf | 0.0837 |
| 0.1349 | 0.53 | 300 | inf | 0.0827 |
| 0.1253 | 0.8 | 450 | inf | 0.0819 |
Framework versions
- Transformers 4.18.0
- Pytorch 2.0.1+cu118
- Datasets 2.1.0
- Tokenizers 0.12.1
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