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

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7306
- Accuracy: 0.8322

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.0418        | 0.9851 | 33   | 2.0022          | 0.3299   |
| 1.7549        | 2.0    | 67   | 1.6488          | 0.4602   |
| 1.3727        | 2.9851 | 100  | 1.4025          | 0.5970   |
| 1.1483        | 4.0    | 134  | 1.1598          | 0.6739   |
| 1.0037        | 4.9851 | 167  | 0.9707          | 0.7516   |
| 0.8469        | 6.0    | 201  | 0.8492          | 0.7994   |
| 0.8115        | 6.9851 | 234  | 0.7889          | 0.8097   |
| 0.7371        | 8.0    | 268  | 0.7440          | 0.8247   |
| 0.6778        | 8.9851 | 301  | 0.7367          | 0.8304   |
| 0.6806        | 9.8507 | 330  | 0.7306          | 0.8322   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1