---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_dialect
  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. -->

# model_dialect

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: 0.8299
- Accuracy: 0.7182

## 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: 4e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 16

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 6.4248        | 0.9455  | 13   | 1.5911          | 0.2748   |
| 6.3186        | 1.9636  | 27   | 1.4754          | 0.4249   |
| 5.5404        | 2.9818  | 41   | 1.2967          | 0.4850   |
| 5.136         | 4.0     | 55   | 1.1871          | 0.5289   |
| 4.8487        | 4.9455  | 68   | 1.1144          | 0.5612   |
| 4.337         | 5.9636  | 82   | 1.0689          | 0.5820   |
| 4.1023        | 6.9818  | 96   | 0.9931          | 0.6628   |
| 3.762         | 8.0     | 110  | 0.9842          | 0.6305   |
| 3.4974        | 8.9455  | 123  | 0.9379          | 0.6420   |
| 3.4265        | 9.9636  | 137  | 0.9304          | 0.6559   |
| 3.111         | 10.9818 | 151  | 0.8909          | 0.6767   |
| 2.9471        | 12.0    | 165  | 0.8744          | 0.6859   |
| 2.8061        | 12.9455 | 178  | 0.8533          | 0.7021   |
| 2.7032        | 13.9636 | 192  | 0.8541          | 0.7067   |
| 2.5328        | 14.9818 | 206  | 0.8299          | 0.7136   |
| 2.5328        | 15.1273 | 208  | 0.8299          | 0.7182   |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0