---
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_da0.5
  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_da0.5

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: 12.5971
- 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: 1000
- training_steps: 3500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:---:|
| 22.3588       | 10.87  | 250  | 23.6457         | 1.0 |
| 8.9908        | 21.74  | 500  | 12.4169         | 1.0 |
| 11.1075       | 32.61  | 750  | 20.5658         | 1.0 |
| 13.3015       | 43.48  | 1000 | 20.3357         | 1.0 |
| 10.7105       | 54.35  | 1250 | 12.4533         | 1.0 |
| 8.8951        | 65.22  | 1500 | 12.5400         | 1.0 |
| 8.8229        | 76.09  | 1750 | 12.5416         | 1.0 |
| 8.7878        | 86.96  | 2000 | 12.5533         | 1.0 |
| 8.8351        | 97.83  | 2250 | 12.5107         | 1.0 |
| 8.8182        | 108.7  | 2500 | 12.6065         | 1.0 |
| 8.7863        | 119.57 | 2750 | 12.6950         | 1.0 |
| 8.801         | 130.43 | 3000 | 12.6095         | 1.0 |
| 8.8417        | 141.3  | 3250 | 12.6030         | 1.0 |
| 8.7401        | 152.17 | 3500 | 12.5971         | 1.0 |


### Framework versions

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