---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: facebook/wav2vec2-base
model-index:
- name: wav2vec2-base-finetuned-digits
  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-base-finetuned-digits

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0605
- Accuracy: 0.9846

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4808        | 1.0   | 620  | 0.3103          | 0.9696   |
| 0.1877        | 2.0   | 1240 | 0.1043          | 0.9791   |
| 0.1478        | 3.0   | 1860 | 0.0727          | 0.9827   |
| 0.1611        | 4.0   | 2480 | 0.0644          | 0.9842   |
| 0.0993        | 5.0   | 3100 | 0.0605          | 0.9846   |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1