---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr1e-4_at0.8_da0.1
  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_at0.8_da0.1

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: 3.0817
- 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: 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: 100
- num_epochs: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 37.6559       | 20.0  | 100  | 4.2522          | 1.0 |
| 3.3119        | 40.0  | 200  | 3.2132          | 1.0 |
| 3.0946        | 60.0  | 300  | 3.1024          | 1.0 |
| 3.0574        | 80.0  | 400  | 3.1054          | 1.0 |
| 3.0388        | 100.0 | 500  | 3.0969          | 1.0 |
| 3.0221        | 120.0 | 600  | 3.0894          | 1.0 |
| 3.0007        | 140.0 | 700  | 3.0842          | 1.0 |
| 2.9741        | 160.0 | 800  | 3.0784          | 1.0 |
| 2.9538        | 180.0 | 900  | 3.0814          | 1.0 |
| 2.9384        | 200.0 | 1000 | 3.0817          | 1.0 |


### Framework versions

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