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wav2vec2-xls-r-300m-bem-200hrs
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 1.0001
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: 1e-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- 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: 100
- num_epochs: 15
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
14.9236 | 0.07 | 200 | inf | 1.0 |
14.849 | 0.14 | 400 | inf | 1.0 |
14.5717 | 0.2 | 600 | inf | 1.0003 |
14.3758 | 0.27 | 800 | inf | 1.0001 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3