---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr1e-4_at0.9_da1
  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. -->

# w2v2-base-pretrained_lr1e-4_at0.9_da1

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: 6.9410
- Wer: 1.0571

## 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: 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: 60
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 17.8057       | 6.1   | 250  | 4.5611          | 1.0    |
| 3.2734        | 12.2  | 500  | 3.7357          | 1.0    |
| 2.8657        | 18.29 | 750  | 2.7315          | 1.0    |
| 0.3941        | 24.39 | 1000 | 4.7924          | 1.0529 |
| 0.1195        | 30.49 | 1250 | 5.4586          | 1.0507 |
| 0.0721        | 36.59 | 1500 | 6.5058          | 1.0588 |
| 0.0472        | 42.68 | 1750 | 6.8300          | 1.0614 |
| 0.0308        | 48.78 | 2000 | 6.8007          | 1.0597 |
| 0.0247        | 54.88 | 2250 | 6.9410          | 1.0571 |


### Framework versions

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