---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: results2
  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. -->

# results2

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: 2.4488
- Wer: 0.9986

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 8.1902        | 2.5   | 500  | 8.5776          | 0.9999 |
| 3.3623        | 5.0   | 1000 | 3.0266          | 0.9981 |
| 2.6484        | 7.5   | 1500 | 2.6942          | 0.9981 |
| 2.4592        | 10.0  | 2000 | 2.5737          | 0.9978 |
| 2.3747        | 12.5  | 2500 | 2.5134          | 0.9985 |
| 2.3306        | 15.0  | 3000 | 2.4761          | 0.9986 |
| 2.3032        | 17.5  | 3500 | 2.4554          | 0.9985 |
| 2.2926        | 20.0  | 4000 | 2.4488          | 0.9986 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2