---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: asr-for-phoneme-detection-1
  results: []
metrics:
- wer
base_model:
- facebook/wav2vec2-base
---

<!-- 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. -->

# asr-for-phoneme-detection-1

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the TIMIT dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2756
- Wer: 0.9613

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.8867        | 0.74  | 500  | 1.8995          | 1.0    |
| 0.9265        | 1.49  | 1000 | 0.5039          | 1.0    |
| 0.4881        | 2.23  | 1500 | 0.3537          | 0.9940 |
| 0.3512        | 2.98  | 2000 | 0.2781          | 0.9702 |
| 0.2706        | 3.72  | 2500 | 0.2756          | 0.9613 |


### Framework versions

- Transformers 4.11.3
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.10.3