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# wav2vec2-nepali-commonvoice-ekg

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3075
- Wer: 0.9179

## 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: 3e-05
- train_batch_size: 14
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 28
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 60
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 22.4043       | 3.57  | 50   | 16.6522         | 1.0    |
| 10.7801       | 7.14  | 100  | 7.4333          | 1.0    |
| 6.495         | 10.71 | 150  | 5.7807          | 1.0    |
| 5.3133        | 14.29 | 200  | 4.8664          | 1.0    |
| 4.6032        | 17.86 | 250  | 4.2820          | 1.0    |
| 4.1089        | 21.43 | 300  | 3.9245          | 1.0    |
| 3.8458        | 25.0  | 350  | 3.7122          | 1.0    |
| 3.6591        | 28.57 | 400  | 3.5473          | 1.0    |
| 3.5109        | 32.14 | 450  | 3.4390          | 0.9415 |
| 3.4283        | 35.71 | 500  | 3.3844          | 0.9336 |
| 3.4034        | 39.29 | 550  | 3.3591          | 0.9858 |
| 3.3724        | 42.86 | 600  | 3.3384          | 0.9842 |
| 3.3415        | 46.43 | 650  | 3.3256          | 0.9795 |
| 3.3093        | 50.0  | 700  | 3.3183          | 0.9668 |
| 3.2933        | 53.57 | 750  | 3.3106          | 0.9384 |
| 3.2663        | 57.14 | 800  | 3.3075          | 0.9179 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "model-index": [{"name": "wav2vec2-nepali-commonvoice-ekg", "results": []}]}
transformers pytorch tensorboard wav2vec2 automatic-speech-recognition generated_from_trainer license:apache-2.0 endpoints_compatible region:us