---
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_da0.3
  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_lr1e-4_at0.8_da0.3

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: 1.6989
- Wer: 0.2119

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 18.5074       | 7.14  | 100  | 3.4425          | 1.0    |
| 3.1775        | 14.29 | 200  | 3.1511          | 1.0    |
| 3.0847        | 21.43 | 300  | 3.1561          | 1.0    |
| 2.9897        | 28.57 | 400  | 2.8890          | 1.0    |
| 1.5122        | 35.71 | 500  | 1.0324          | 0.5404 |
| 0.2161        | 42.86 | 600  | 1.2853          | 0.2960 |
| 0.1074        | 50.0  | 700  | 1.4629          | 0.2456 |
| 0.0707        | 57.14 | 800  | 1.5134          | 0.2183 |
| 0.051         | 64.29 | 900  | 1.4349          | 0.2097 |
| 0.04          | 71.43 | 1000 | 1.6989          | 0.2119 |


### Framework versions

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