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

# wav2vec2-base-nsc-demo-5

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: 0.3886
- Wer: 0.1816

## 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: 5e-05
- 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5847        | 4.55  | 100  | 0.3145          | 0.1831 |
| 0.2645        | 9.09  | 200  | 0.2989          | 0.1744 |
| 0.1705        | 13.64 | 300  | 0.3104          | 0.1847 |
| 0.1267        | 18.18 | 400  | 0.5592          | 0.1853 |
| 0.0993        | 22.73 | 500  | 0.3233          | 0.1765 |
| 0.0939        | 27.27 | 600  | 0.3632          | 0.1816 |
| 0.0731        | 31.82 | 700  | 0.3886          | 0.1816 |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3