---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vecvanilla
  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. -->

# wav2vecvanilla

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8028
- Wer: 0.3041

## 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: 16
- 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
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.1729        | 1.69  | 100  | 1.0048          | 0.3681 |
| 1.0722        | 3.39  | 200  | 0.9117          | 0.3511 |
| 0.9994        | 5.08  | 300  | 0.9302          | 0.3436 |
| 0.9576        | 6.78  | 400  | 0.8246          | 0.3320 |
| 0.9826        | 8.47  | 500  | 0.7846          | 0.3343 |
| 0.801         | 10.17 | 600  | 0.8600          | 0.3269 |
| 0.8174        | 11.86 | 700  | 0.7871          | 0.3186 |
| 0.7162        | 13.56 | 800  | 0.8164          | 0.3186 |
| 0.7447        | 15.25 | 900  | 0.8965          | 0.3084 |
| 0.6889        | 16.95 | 1000 | 0.8239          | 0.3057 |
| 0.6739        | 18.64 | 1100 | 0.8028          | 0.3041 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2