---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IDAT_red_aug_616_Wav2Vec
  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. -->

# IDAT_red_aug_616_Wav2Vec

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: 0.3382
- Accuracy: 0.8625

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3732        | 1.0   | 175  | 0.4693          | 0.7825   |
| 0.4666        | 2.0   | 350  | 0.4351          | 0.7975   |
| 0.6685        | 3.0   | 525  | 0.6890          | 0.5      |
| 0.4546        | 4.0   | 700  | 0.5034          | 0.81     |
| 0.8762        | 5.0   | 875  | 0.4574          | 0.7925   |
| 0.4899        | 6.0   | 1050 | 0.4061          | 0.83     |
| 0.3869        | 7.0   | 1225 | 0.5520          | 0.795    |
| 0.2943        | 8.0   | 1400 | 0.3231          | 0.875    |
| 0.4684        | 9.0   | 1575 | 0.3784          | 0.835    |
| 0.3216        | 10.0  | 1750 | 0.3382          | 0.8625   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3