---
license: mit
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-commonvoice-tamil
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# wav2vec2-commonvoice-tamil

This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-tamil-tam-250](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-tamil-tam-250) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3415
- Wer: 1.0

## 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: 400
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 5.384         | 1.69  | 200  | 3.3400          | 1.0 |
| 3.3085        | 3.39  | 400  | 3.3609          | 1.0 |
| 3.3008        | 5.08  | 600  | 3.3331          | 1.0 |
| 3.2852        | 6.78  | 800  | 3.3492          | 1.0 |
| 3.2908        | 8.47  | 1000 | 3.3318          | 1.0 |
| 3.2865        | 10.17 | 1200 | 3.3501          | 1.0 |
| 3.2826        | 11.86 | 1400 | 3.3403          | 1.0 |
| 3.2875        | 13.56 | 1600 | 3.3335          | 1.0 |
| 3.2899        | 15.25 | 1800 | 3.3311          | 1.0 |
| 3.2755        | 16.95 | 2000 | 3.3617          | 1.0 |
| 3.2877        | 18.64 | 2200 | 3.3317          | 1.0 |
| 3.2854        | 20.34 | 2400 | 3.3560          | 1.0 |
| 3.2878        | 22.03 | 2600 | 3.3332          | 1.0 |
| 3.2766        | 23.73 | 2800 | 3.3317          | 1.0 |
| 3.2943        | 25.42 | 3000 | 3.3737          | 1.0 |
| 3.2845        | 27.12 | 3200 | 3.3347          | 1.0 |
| 3.2765        | 28.81 | 3400 | 3.3415          | 1.0 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3