augmented_indians_dataset_client2
This model is a fine-tuned version of zainulhakim/241103_wav2vec2_Augmented_Dataset on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7949
- Wer: 0.5314
- Cer: 0.2484
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| No log | 1.0 | 156 | 1.6021 | 0.7371 | 0.5976 |
| No log | 2.0 | 312 | 1.0143 | 0.6057 | 0.3627 |
| No log | 3.0 | 468 | 0.7949 | 0.5314 | 0.2484 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.5.1+cu124
- Datasets 2.19.2
- Tokenizers 0.19.1