metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: krishivoice
results: []
krishivoice
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6148
- Wer: 0.2809
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: 0.0001
- 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
- lr_scheduler_warmup_steps: 200
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3768 | 9.0909 | 1000 | 0.5920 | 0.4378 |
| 0.1392 | 18.1818 | 2000 | 0.5513 | 0.3537 |
| 0.0823 | 27.2727 | 3000 | 0.5021 | 0.3260 |
| 0.0566 | 36.3636 | 4000 | 0.5473 | 0.3163 |
| 0.0886 | 45.4545 | 5000 | 0.5637 | 0.3098 |
| 0.0368 | 54.5455 | 6000 | 0.5558 | 0.3004 |
| 0.0264 | 63.6364 | 7000 | 0.6315 | 0.2919 |
| 0.0214 | 72.7273 | 8000 | 0.5927 | 0.2902 |
| 0.0124 | 81.8182 | 9000 | 0.6936 | 0.2874 |
| 0.0132 | 90.9091 | 10000 | 0.6311 | 0.2858 |
| 0.0094 | 100.0 | 11000 | 0.6148 | 0.2809 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1