---
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: 0.9645
- Accuracy: 0.6605

## 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: 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 |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 6.4375        | 0.9455  | 13   | 1.5888          | 0.2864   |
| 6.3195        | 1.9636  | 27   | 1.4956          | 0.3303   |
| 5.5946        | 2.9818  | 41   | 1.3432          | 0.4296   |
| 5.1778        | 4.0     | 55   | 1.2428          | 0.4896   |
| 4.8878        | 4.9455  | 68   | 1.1755          | 0.5219   |
| 4.4526        | 5.9636  | 82   | 1.1291          | 0.5612   |
| 4.2637        | 6.9818  | 96   | 1.1010          | 0.5843   |
| 3.92          | 8.0     | 110  | 1.0861          | 0.5889   |
| 3.7452        | 8.9455  | 123  | 1.0428          | 0.6051   |
| 3.6307        | 9.9636  | 137  | 1.0306          | 0.6351   |
| 3.4254        | 10.9818 | 151  | 0.9944          | 0.6467   |
| 3.1453        | 12.0    | 165  | 0.9931          | 0.6328   |
| 3.2321        | 12.9455 | 178  | 0.9595          | 0.6582   |
| 3.0323        | 13.9636 | 192  | 0.9593          | 0.6490   |
| 2.9844        | 14.9818 | 206  | 0.9645          | 0.6605   |
| 2.9844        | 15.1273 | 208  | 0.9652          | 0.6605   |


### Framework versions

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