wav2vec_birb_fintuned
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2675
- Accuracy: 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 9 | 4.7477 | 1.0 |
5.047 | 2.0 | 18 | 4.3604 | 1.0 |
4.6126 | 3.0 | 27 | 4.2675 | 1.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 36
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for annaces/wav2vec_birb_fintuned
Base model
facebook/wav2vec2-base-960h