---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- new_dataset
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-manthan-gujarati-digits
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-base-finetuned-manthan-gujarati-digits

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the new_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5613
- Accuracy: 0.9923

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3392        | 0.98  | 12   | 1.1315          | 0.9665   |
| 1.2319        | 1.98  | 24   | 0.9487          | 0.9716   |
| 1.0824        | 2.98  | 36   | 0.8338          | 0.9820   |
| 0.9995        | 3.98  | 48   | 0.7533          | 0.9845   |
| 0.8175        | 4.98  | 60   | 0.6759          | 0.9923   |
| 0.8015        | 5.98  | 72   | 0.6425          | 0.9845   |
| 0.7417        | 6.98  | 84   | 0.6048          | 0.9871   |
| 0.7181        | 7.98  | 96   | 0.5850          | 0.9923   |
| 0.6907        | 8.98  | 108  | 0.5687          | 0.9897   |
| 0.6511        | 9.98  | 120  | 0.5613          | 0.9923   |


### Framework versions

- Transformers 4.19.0
- Pytorch 1.11.0+cu113
- Datasets 1.14.0
- Tokenizers 0.12.1