wav2vec2-base-coscan-no-area
This model is a fine-tuned version of facebook/wav2vec2-base on the coscan-speech2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3398
- Accuracy: 0.9486
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0015 | 1.0 | 6468 | 0.3398 | 0.9486 |
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 2.4.1.dev0
- Tokenizers 0.12.1
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Model tree for versae/wav2vec2-base-coscan-no-area
Base model
facebook/wav2vec2-base
Finetuned
this model
Evaluation results
- Test Accuracy on Coscan Speechself-reported0.836
- Validation Accuracy on Coscan Speechself-reported0.949