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

# wav2vec2-base-960h-demo-google-colab

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1495
- Wer: 0.1503

## 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: 1000
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.7708        | 0.42  | 200  | 3.3194          | 0.9999 |
| 3.0354        | 0.84  | 400  | 3.1933          | 0.9999 |
| 2.796         | 1.26  | 600  | 1.4082          | 0.7669 |
| 1.0912        | 1.68  | 800  | 0.8231          | 0.3675 |
| 0.6568        | 2.1   | 1000 | 0.3944          | 0.2863 |
| 0.4604        | 2.52  | 1200 | 0.3303          | 0.2421 |
| 0.3932        | 2.94  | 1400 | 0.2730          | 0.2103 |
| 0.3356        | 3.35  | 1600 | 0.2189          | 0.1789 |
| 0.3117        | 3.77  | 1800 | 0.2189          | 0.1688 |
| 0.2332        | 4.19  | 2000 | 0.1802          | 0.1563 |
| 0.2283        | 4.61  | 2200 | 0.1495          | 0.1503 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1