---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: CREMA_D_Model
  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. -->

# CREMA_D_Model

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8221
- Accuracy: 0.7322

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7381        | 0.99  | 37   | 1.6700          | 0.3359   |
| 1.4143        | 1.99  | 74   | 1.4013          | 0.4878   |
| 1.1738        | 2.98  | 111  | 1.1820          | 0.6029   |
| 1.0229        | 4.0   | 149  | 1.0244          | 0.6532   |
| 0.8688        | 4.99  | 186  | 0.9101          | 0.7036   |
| 0.7578        | 5.99  | 223  | 0.8787          | 0.7112   |
| 0.705         | 6.98  | 260  | 0.8292          | 0.7229   |
| 0.6469        | 8.0   | 298  | 0.8509          | 0.7179   |
| 0.5684        | 8.99  | 335  | 0.8412          | 0.7288   |
| 0.5611        | 9.93  | 370  | 0.8221          | 0.7322   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3