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wav2vec2-large-xlsr-53_toy_train_data_augment_0.1.csv
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4695
- Wer: 1.0
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: 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: 1000
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
3.2456 | 0.84 | 200 | 3.6215 | 1.0 |
3.0637 | 1.68 | 400 | 3.3918 | 1.0 |
3.046 | 2.52 | 600 | 3.4168 | 1.0 |
3.0627 | 3.36 | 800 | 3.4695 | 1.0 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.11.6