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

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on a subset of the Common Voice dataset for the elderly population.
It achieves the following results on the evaluation set:
- Loss: 0.6129
- Wer: 0.4703

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.2575        | 5.0   | 50   | 3.0613          | 1.0    |
| 3.0917        | 10.0  | 100  | 3.1951          | 1.0    |
| 2.9905        | 15.0  | 150  | 2.8278          | 1.0    |
| 2.6373        | 20.0  | 200  | 1.4290          | 1.0013 |
| 1.8438        | 25.0  | 250  | 0.8604          | 0.7939 |
| 1.1253        | 30.0  | 300  | 0.7872          | 0.7009 |
| 0.7395        | 35.0  | 350  | 0.6323          | 0.5780 |
| 0.7408        | 40.0  | 400  | 0.6096          | 0.5315 |
| 0.8041        | 45.0  | 450  | 0.6081          | 0.5239 |
| 0.6946        | 50.0  | 500  | 0.6098          | 0.5074 |
| 0.5954        | 55.0  | 550  | 0.6358          | 0.5132 |
| 0.5571        | 60.0  | 600  | 0.6034          | 0.4922 |
| 0.4828        | 65.0  | 650  | 0.6084          | 0.4774 |
| 0.6639        | 70.0  | 700  | 0.5984          | 0.4712 |
| 0.5682        | 75.0  | 750  | 0.5985          | 0.4712 |
| 0.3801        | 80.0  | 800  | 0.6129          | 0.4703 |


### 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-cv-13-elderly-frisian", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_voice_13_0", "type": "common_voice_13_0", "config": "fy-NL", "split": "test", "args": "fy-NL"}, "metrics": [{"type": "wer", "value": 0.3621700879765396, "name": "Wer"}]}, {"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_voice_13_0", "type": "common_voice_13_0", "config": "fy-NL", "split": "validation", "args": "fy-NL"}, "metrics": [{"type": "wer", "value": 0.4703, "name": "Wer"}]}]}]}
transformers pytorch wav2vec2 automatic-speech-recognition generated_from_trainer license:apache-2.0 model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #generated_from_trainer #license-apache-2.0 #model-index #endpoints_compatible #region-us 

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


This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on a subset of the Common Voice dataset for the elderly population.
It achieves the following results on the evaluation set:


* Loss: 0.6129
* Wer: 0.4703


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 #model-index #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