kannada_beekeeping_wav2vec2
This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-kannada-knm-560 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5026
- Wer: 0.3540
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 10
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 10.7351 | 1.21 | 35 | 1.7314 | 0.7609 |
| 1.3444 | 2.41 | 70 | 0.7849 | 0.4993 |
| 0.8992 | 3.62 | 105 | 0.6112 | 0.3857 |
| 0.6347 | 4.83 | 140 | 0.5026 | 0.3540 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Downloads last month
- 4,008
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.