---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IDAT_red_aug_5443_novel_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_5443_novel_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: 1.0190
- Accuracy: 0.7025

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.576         | 1.0   | 200  | 0.6397          | 0.6512   |
| 0.5181        | 2.0   | 400  | 0.5415          | 0.7425   |
| 0.3743        | 3.0   | 600  | 0.5854          | 0.7662   |
| 0.3121        | 4.0   | 800  | 0.3357          | 0.8625   |
| 0.3069        | 5.0   | 1000 | 0.3341          | 0.865    |
| 0.3384        | 6.0   | 1200 | 0.3345          | 0.8625   |
| 0.449         | 7.0   | 1400 | 0.4558          | 0.7762   |
| 0.3062        | 8.0   | 1600 | 0.2643          | 0.91     |
| 0.1498        | 9.0   | 1800 | 0.6104          | 0.7887   |
| 0.0141        | 10.0  | 2000 | 1.0190          | 0.7025   |


### Framework versions

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