---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- automatic-speech-recognition
- JASMIN
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-jasmin-nl-vl-dia-read-xls-r-300m
  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-jasmin-nl-vl-dia-read-xls-r-300m

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the JASMIN - NL dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4013
- Wer: 1.0930

## 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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.19  | 100  | 4.5749          | 1.0    |
| No log        | 2.38  | 200  | 3.2544          | 1.0    |
| No log        | 3.57  | 300  | 3.1107          | 1.0001 |
| No log        | 4.76  | 400  | 0.9152          | 1.0171 |
| 3.9561        | 5.95  | 500  | 0.6422          | 1.0590 |
| 3.9561        | 7.14  | 600  | 0.4900          | 1.0867 |
| 3.9561        | 8.33  | 700  | 0.4251          | 1.0955 |
| 3.9561        | 9.52  | 800  | 0.4232          | 1.1465 |
| 3.9561        | 10.71 | 900  | 0.4133          | 1.1194 |
| 0.2637        | 11.9  | 1000 | 0.3940          | 1.1307 |
| 0.2637        | 13.1  | 1100 | 0.3943          | 1.0964 |
| 0.2637        | 14.29 | 1200 | 0.3974          | 1.0894 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.1
- Tokenizers 0.13.3