---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr5e-5_at0.8_da0.025
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# w2v2-base-pretrained_lr5e-5_at0.8_da0.025

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: 9.1596
- Wer: 1.0

## 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: 5e-05
- train_batch_size: 32
- 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
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:---:|
| 33.8202       | 125.0  | 250  | 47.1503         | 1.0 |
| 11.5918       | 250.0  | 500  | 9.7965          | 1.0 |
| 10.0921       | 375.0  | 750  | 9.2904          | 1.0 |
| 6.6014        | 500.0  | 1000 | 9.2396          | 1.0 |
| 7.8557        | 625.0  | 1250 | 9.2582          | 1.0 |
| 7.6576        | 750.0  | 1500 | 10.7610         | 1.0 |
| 7.0009        | 875.0  | 1750 | 9.2900          | 1.0 |
| 6.6034        | 1000.0 | 2000 | 9.2763          | 1.0 |
| 6.5928        | 1125.0 | 2250 | 9.2703          | 1.0 |
| 6.5581        | 1250.0 | 2500 | 9.1374          | 1.0 |
| 6.4663        | 1375.0 | 2750 | 9.1508          | 1.0 |
| 6.4496        | 1500.0 | 3000 | 9.1802          | 1.0 |
| 6.4061        | 1625.0 | 3250 | 9.1858          | 1.0 |
| 6.4291        | 1750.0 | 3500 | 9.1535          | 1.0 |
| 6.4131        | 1875.0 | 3750 | 9.1450          | 1.0 |
| 6.4086        | 2000.0 | 4000 | 9.1596          | 1.0 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1