---
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: 4.1078
- Wer: 0.9945

## 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: 0.005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.1667        | 0.57  | 100  | 4.5022          | 0.9941 |
| 2.8372        | 1.14  | 200  | 3.6561          | 0.9989 |
| 2.8065        | 1.71  | 300  | 3.9712          | 0.9943 |
| 2.7851        | 2.29  | 400  | 3.9929          | 0.9941 |
| 2.7765        | 2.86  | 500  | 4.2525          | 0.9942 |
| 2.7666        | 3.43  | 600  | 4.1306          | 0.9941 |
| 2.7647        | 4.0   | 700  | 4.1459          | 0.9941 |
| 2.7572        | 4.57  | 800  | 4.1862          | 0.9944 |
| 2.7506        | 5.14  | 900  | 4.1974          | 0.9948 |
| 2.7481        | 5.71  | 1000 | 4.3590          | 0.9944 |
| 2.7445        | 6.29  | 1100 | 4.1933          | 0.9942 |
| 2.7475        | 6.86  | 1200 | 4.2083          | 0.9948 |
| 2.7431        | 7.43  | 1300 | 4.1181          | 0.9945 |
| 2.7404        | 8.0   | 1400 | 4.1052          | 0.9944 |
| 2.7387        | 8.57  | 1500 | 4.1345          | 0.9945 |
| 2.7365        | 9.14  | 1600 | 4.0646          | 0.9945 |
| 2.7353        | 9.71  | 1700 | 4.1078          | 0.9945 |


### Framework versions

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