---
license: apache-2.0
base_model: facebook/wav2vec2-large-960h-lv60-self
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-960h-lv60-self-dysarthria
  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. -->

# wav2vec2-large-960h-lv60-self-dysarthria

This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2385
- Wer: 1.0

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 20.9703       | 3.2   | 200  | 3.5607          | 1.0 |
| 3.4216        | 6.4   | 400  | 3.3741          | 1.0 |
| 3.3062        | 9.6   | 600  | 3.1419          | 1.0 |
| 2.994         | 12.8  | 800  | 2.6835          | 1.0 |
| 2.7361        | 16.0  | 1000 | 2.4129          | 1.0 |
| 2.6005        | 19.2  | 1200 | 2.2973          | 1.0 |
| 2.5724        | 22.4  | 1400 | 2.2520          | 1.0 |
| 2.619         | 25.6  | 1600 | 2.2435          | 1.0 |
| 2.5278        | 28.8  | 1800 | 2.2385          | 1.0 |


### Framework versions

- Transformers 4.43.2
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1