---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: revised_ft_wav2vec2_base_thirty
  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. -->

# revised_ft_wav2vec2_base_thirty

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7407
- Wer: 99.8829
- Cer: 98.8775

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 4500

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
| 3.5435        | 3.5088  | 1000 | 2.7750          | 99.9040 | 98.9988 |
| 0.885         | 7.0175  | 2000 | 0.6658          | 33.7675 | 14.7845 |
| 0.391         | 10.5263 | 3000 | 0.6526          | 29.5786 | 13.3104 |
| 0.2561        | 14.0351 | 4000 | 0.6522          | 27.3708 | 12.2904 |


### Framework versions

- Transformers 4.40.2
- Pytorch 1.12.1+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1