metadata
license: mit
base_model: Harveenchadha/vakyansh-wav2vec2-hindi-him-4200
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hindi_wav2vec2_optimized
results: []
hindi_wav2vec2_optimized
This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0031
- Wer: 0.0617
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: 125
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.8226 | 10.0 | 25 | 1.0589 | 0.3038 |
| 0.4978 | 20.0 | 50 | 0.3628 | 0.1549 |
| 0.3095 | 30.0 | 75 | 0.1512 | 0.1256 |
| 0.1031 | 40.0 | 100 | 0.0368 | 0.0872 |
| 0.0578 | 50.0 | 125 | 0.0192 | 0.0699 |
| 0.0486 | 60.0 | 150 | 0.0194 | 0.0699 |
| 0.0342 | 70.0 | 175 | 0.0053 | 0.0662 |
| 0.0225 | 80.0 | 200 | 0.0037 | 0.0624 |
| 0.0176 | 90.0 | 225 | 0.0023 | 0.0609 |
| 0.0197 | 100.0 | 250 | 0.0031 | 0.0617 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1