---
license: apache-2.0
base_model: zainulhakim/240626-wav2vec2-ASR_Global
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 240803_01-wav2vec2-ASR-Global-All-Clients
  results: []
---

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# 240803_01-wav2vec2-ASR-Global-All-Clients

This model is a fine-tuned version of [zainulhakim/240626-wav2vec2-ASR_Global](https://huggingface.co/zainulhakim/240626-wav2vec2-ASR_Global) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2829
- Wer: 0.1449

## 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: 5
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| No log        | 1.5625  | 100  | 0.2964          | 0.1989 |
| No log        | 3.125   | 200  | 0.3052          | 0.2216 |
| No log        | 4.6875  | 300  | 0.3365          | 0.2614 |
| No log        | 6.25    | 400  | 0.3643          | 0.2670 |
| 0.1191        | 7.8125  | 500  | 0.3596          | 0.2841 |
| 0.1191        | 9.375   | 600  | 0.4020          | 0.2358 |
| 0.1191        | 10.9375 | 700  | 0.3445          | 0.2727 |
| 0.1191        | 12.5    | 800  | 0.3989          | 0.3239 |
| 0.1191        | 14.0625 | 900  | 0.3855          | 0.2415 |
| 0.1639        | 15.625  | 1000 | 0.3188          | 0.2131 |
| 0.1639        | 17.1875 | 1100 | 0.2902          | 0.1648 |
| 0.1639        | 18.75   | 1200 | 0.2829          | 0.1449 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1