---
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: 0.8947
- Accuracy: 0.6975

## 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: 15

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 6.4185        | 0.9455  | 13   | 1.5833          | 0.2979   |
| 6.3212        | 1.9636  | 27   | 1.5130          | 0.3118   |
| 5.7314        | 2.9818  | 41   | 1.3549          | 0.4711   |
| 5.3036        | 4.0     | 55   | 1.2348          | 0.5150   |
| 4.9932        | 4.9455  | 68   | 1.1989          | 0.5058   |
| 4.5875        | 5.9636  | 82   | 1.1178          | 0.5704   |
| 4.327         | 6.9818  | 96   | 1.0420          | 0.6443   |
| 3.9131        | 8.0     | 110  | 1.0319          | 0.6282   |
| 3.7915        | 8.9455  | 123  | 0.9752          | 0.6744   |
| 3.6121        | 9.9636  | 137  | 0.9379          | 0.6651   |
| 3.4393        | 10.9818 | 151  | 0.9254          | 0.6928   |
| 3.2218        | 12.0    | 165  | 0.9149          | 0.6767   |
| 3.1582        | 12.9455 | 178  | 0.9063          | 0.6952   |
| 2.9563        | 13.9636 | 192  | 0.8947          | 0.6975   |
| 2.9563        | 14.1818 | 195  | 0.8946          | 0.6975   |


### Framework versions

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