---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IDAT_red_aug_331_copy_Wav2Vec
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# IDAT_red_aug_331_copy_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: 1.1132
- Accuracy: 0.8101

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6483        | 0.99  | 40   | 0.5523          | 0.8101   |
| 0.5877        | 1.99  | 80   | 0.7576          | 0.3924   |
| 0.6174        | 2.98  | 120  | 0.8804          | 0.4367   |
| 0.2921        | 4.0   | 161  | 0.1146          | 1.0      |
| 0.0318        | 4.99  | 201  | 0.0188          | 1.0      |
| 0.0088        | 5.99  | 241  | 0.7975          | 0.8101   |
| 0.0055        | 6.98  | 281  | 1.0067          | 0.8101   |
| 0.0042        | 8.0   | 322  | 1.0728          | 0.8101   |
| 0.0036        | 8.99  | 362  | 1.1028          | 0.8101   |
| 0.0034        | 9.94  | 400  | 1.1132          | 0.8101   |


### Framework versions

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