---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IDAT_spec_concat_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_spec_concat_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: 0.6301
- Accuracy: 0.7027

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6973        | 0.93  | 10   | 0.6810          | 0.4865   |
| 0.6482        | 1.95  | 21   | 0.6340          | 0.7027   |
| 0.6312        | 2.98  | 32   | 0.5760          | 0.6757   |
| 0.5598        | 4.0   | 43   | 0.5833          | 0.7027   |
| 0.648         | 4.93  | 53   | 0.7028          | 0.4595   |
| 0.5366        | 5.95  | 64   | 0.5593          | 0.6757   |
| 0.5307        | 6.98  | 75   | 0.5257          | 0.6757   |
| 0.5351        | 8.0   | 86   | 0.5375          | 0.6757   |
| 0.4816        | 8.93  | 96   | 0.6420          | 0.7027   |
| 0.4438        | 9.3   | 100  | 0.6301          | 0.7027   |


### Framework versions

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