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# wav2vec2-large-xls-r-1b-frisian-cv-13-elderly

This model is a fine-tuned version of [greenw0lf/wav2vec2-large-xls-r-1b-frisian](https://huggingface.co/greenw0lf/wav2vec2-large-xls-r-1b-frisian) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3100
- Wer: 0.2977

## 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: 8e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 80
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 7.3658        | 5.0   | 50   | 1.9244          | 0.9718 |
| 0.8028        | 10.0  | 100  | 0.2503          | 0.2848 |
| 0.5111        | 15.0  | 150  | 0.2351          | 0.2870 |
| 0.7741        | 20.0  | 200  | 0.2383          | 0.2955 |
| 0.9183        | 25.0  | 250  | 0.2522          | 0.2977 |
| 0.5903        | 30.0  | 300  | 0.2773          | 0.3035 |
| 0.3031        | 35.0  | 350  | 0.2857          | 0.3067 |
| 0.4772        | 40.0  | 400  | 0.3087          | 0.3089 |
| 0.619         | 45.0  | 450  | 0.2857          | 0.3071 |
| 0.5617        | 50.0  | 500  | 0.2914          | 0.3035 |
| 0.4333        | 55.0  | 550  | 0.3058          | 0.3044 |
| 0.4576        | 60.0  | 600  | 0.3192          | 0.3008 |
| 0.3573        | 65.0  | 650  | 0.3158          | 0.3053 |
| 0.5565        | 70.0  | 700  | 0.3092          | 0.3076 |
| 0.4619        | 75.0  | 750  | 0.3110          | 0.3008 |
| 0.2608        | 80.0  | 800  | 0.3100          | 0.2977 |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "model-index": [{"name": "wav2vec2-large-xls-r-1b-frisian-cv-13-elderly", "results": []}]}
transformers pytorch wav2vec2 automatic-speech-recognition generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 

wav2vec2-large-xls-r-1b-frisian-cv-13-elderly
=============================================


This model is a fine-tuned version of greenw0lf/wav2vec2-large-xls-r-1b-frisian on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3100
* Wer: 0.2977


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: 8e-05
* train\_batch\_size: 32
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 80
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu117
* Datasets 2.11.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 8e-05
* train\_batch\_size: 32
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 80
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu117
* Datasets 2.11.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 8e-05
* train\_batch\_size: 32
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 80
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu117
* Datasets 2.11.0
* Tokenizers 0.13.2