---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IDAT_grn_aug_275_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_grn_aug_275_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: 0.1890
- Accuracy: 0.9325

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6637        | 1.0   | 200  | 0.6039          | 0.7475   |
| 0.5596        | 2.0   | 400  | 0.4814          | 0.7863   |
| 0.5862        | 3.0   | 600  | 0.5135          | 0.72     |
| 0.4844        | 4.0   | 800  | 1.0771          | 0.69     |
| 0.4379        | 5.0   | 1000 | 0.3902          | 0.8263   |
| 0.386         | 6.0   | 1200 | 0.3852          | 0.8263   |
| 0.4857        | 7.0   | 1400 | 0.3531          | 0.8512   |
| 0.3663        | 8.0   | 1600 | 0.3054          | 0.8812   |
| 0.2437        | 9.0   | 1800 | 0.1914          | 0.9437   |
| 0.1738        | 10.0  | 2000 | 0.1890          | 0.9325   |


### Framework versions

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