---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-timit-coba-sandy
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-base-timit-coba-sandy

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: 0.6048
- Wer: 0.5118

## 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: 8
- 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 3.0362        | 0.2008 | 100  | 3.1211          | 1.0    |
| 2.9869        | 0.4016 | 200  | 3.1039          | 1.0    |
| 2.9429        | 0.6024 | 300  | 2.9918          | 1.0    |
| 2.6059        | 0.8032 | 400  | 2.1529          | 1.0098 |
| 1.6444        | 1.0040 | 500  | 1.2032          | 0.9262 |
| 1.0685        | 1.2048 | 600  | 0.8444          | 0.6414 |
| 0.8178        | 1.4056 | 700  | 0.7169          | 0.5498 |
| 0.7488        | 1.6064 | 800  | 0.6162          | 0.5415 |
| 0.6292        | 1.8072 | 900  | 0.6048          | 0.5118 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 1.18.3
- Tokenizers 0.19.1