---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mydata-sentence
  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. -->

# mydata-sentence

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: 0.7519
- Accuracy: 0.4615

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7048        | 1.0   | 4    | 0.7079          | 0.3846   |
| 0.6478        | 2.0   | 8    | 0.7239          | 0.3846   |
| 0.7242        | 3.0   | 12   | 0.7464          | 0.3846   |
| 0.5978        | 4.0   | 16   | 0.7460          | 0.4615   |
| 0.7061        | 5.0   | 20   | 0.7460          | 0.4615   |
| 0.7089        | 6.0   | 24   | 0.7377          | 0.4615   |
| 0.5751        | 7.0   | 28   | 0.7324          | 0.4615   |
| 0.5799        | 8.0   | 32   | 0.7365          | 0.4615   |
| 0.563         | 9.0   | 36   | 0.7477          | 0.4615   |
| 0.555         | 10.0  | 40   | 0.7562          | 0.4615   |
| 0.5227        | 11.0  | 44   | 0.7632          | 0.4615   |
| 0.6701        | 12.0  | 48   | 0.7590          | 0.4615   |
| 0.5219        | 13.0  | 52   | 0.7540          | 0.4615   |
| 0.5003        | 14.0  | 56   | 0.7526          | 0.4615   |
| 0.488         | 15.0  | 60   | 0.7519          | 0.4615   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.12.0
- Tokenizers 0.15.1