---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-CALLCENTER
  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-CALLCENTER

This model is a fine-tuned version of [Niccogrillo/wav2vec2-base-CALLCENTER](https://huggingface.co/Niccogrillo/wav2vec2-base-CALLCENTER) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4605
- Wer: 0.2139

## 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: 1e-05
- train_batch_size: 8
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.9258        | 0.41  | 500  | 2.6959          | 0.9996 |
| 0.7059        | 0.82  | 1000 | 0.6081          | 0.2841 |
| 0.1633        | 1.22  | 1500 | 0.5037          | 0.2302 |
| 0.2361        | 1.63  | 2000 | 0.4207          | 0.2206 |
| 0.2289        | 2.04  | 2500 | 0.4433          | 0.2184 |
| 0.1794        | 2.45  | 3000 | 0.4648          | 0.2172 |
| 0.1827        | 2.86  | 3500 | 0.4592          | 0.2151 |
| 0.1844        | 3.27  | 4000 | 0.4507          | 0.2143 |
| 0.1723        | 3.67  | 4500 | 0.4561          | 0.2143 |
| 0.1762        | 4.08  | 5000 | 0.4633          | 0.2143 |
| 0.1762        | 4.49  | 5500 | 0.4610          | 0.2140 |
| 0.1552        | 4.9   | 6000 | 0.4605          | 0.2139 |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3