---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec_finetuning_output
  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. -->

# wav2vec_finetuning_output

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3368
- Accuracy: 0.5338

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3588        | 1.0   | 203  | 1.3368          | 0.5338   |
| 1.2412        | 2.0   | 406  | 1.3360          | 0.5338   |
| 1.3518        | 3.0   | 609  | 1.3296          | 0.5314   |
| 1.3174        | 4.0   | 813  | 1.3107          | 0.5338   |
| 1.3107        | 4.99  | 1015 | 1.3112          | 0.5338   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2