---
license: apache-2.0
base_model: zainulhakim/240615-wav2vec2-ASR-English
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 240624-wav2vec2-ASR-English
  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. -->

# 240624-wav2vec2-ASR-English

This model is a fine-tuned version of [zainulhakim/240615-wav2vec2-ASR-English](https://huggingface.co/zainulhakim/240615-wav2vec2-ASR-English) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8851
- Wer: 0.5584

## 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: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 5.0   | 100  | 2.6338          | 1.0    |
| No log        | 10.0  | 200  | 0.8716          | 0.9221 |
| No log        | 15.0  | 300  | 0.8093          | 0.6753 |
| No log        | 20.0  | 400  | 0.7692          | 0.6494 |
| 1.766         | 25.0  | 500  | 1.0466          | 0.5714 |
| 1.766         | 30.0  | 600  | 0.8851          | 0.5584 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1