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# wav2vec2-xls-r-300m-eo

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the COMMON_VOICE - EO dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2584
- Wer: 0.3114

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.1701        | 0.8   | 500   | 2.8105          | 1.0    |
| 1.9143        | 1.6   | 1000  | 0.5977          | 0.7002 |
| 1.1259        | 2.4   | 1500  | 0.5063          | 0.6157 |
| 0.9732        | 3.2   | 2000  | 0.4264          | 0.5673 |
| 0.8983        | 4.0   | 2500  | 0.4249          | 0.4902 |
| 0.8507        | 4.8   | 3000  | 0.3811          | 0.4536 |
| 0.8064        | 5.6   | 3500  | 0.3643          | 0.4467 |
| 0.7866        | 6.4   | 4000  | 0.3600          | 0.4453 |
| 0.7773        | 7.2   | 4500  | 0.3724          | 0.4470 |
| 0.747         | 8.0   | 5000  | 0.3501          | 0.4189 |
| 0.7279        | 8.8   | 5500  | 0.3500          | 0.4261 |
| 0.7153        | 9.6   | 6000  | 0.3328          | 0.3966 |
| 0.7           | 10.4  | 6500  | 0.3314          | 0.3869 |
| 0.6784        | 11.2  | 7000  | 0.3396          | 0.4051 |
| 0.6582        | 12.0  | 7500  | 0.3236          | 0.3899 |
| 0.6478        | 12.8  | 8000  | 0.3263          | 0.3832 |
| 0.6277        | 13.6  | 8500  | 0.3139          | 0.3769 |
| 0.6053        | 14.4  | 9000  | 0.2955          | 0.3536 |
| 0.5777        | 15.2  | 9500  | 0.2793          | 0.3413 |
| 0.5631        | 16.0  | 10000 | 0.2789          | 0.3353 |
| 0.5446        | 16.8  | 10500 | 0.2709          | 0.3264 |
| 0.528         | 17.6  | 11000 | 0.2693          | 0.3234 |
| 0.5169        | 18.4  | 11500 | 0.2656          | 0.3193 |
| 0.5041        | 19.2  | 12000 | 0.2575          | 0.3102 |
| 0.4971        | 20.0  | 12500 | 0.2584          | 0.3114 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0

#### Evaluation Commands
1. To evaluate on `mozilla-foundation/common_voice_7_0` with split `test`

```bash
python eval.py --model_id samitizerxu/wav2vec2-xls-r-300m-eo --dataset mozilla-foundation/common_voice_7_0 --config eo --split test
```
{"language": ["eo"], "license": "apache-2.0", "tags": ["automatic-speech-recognition", "common_voice", "eo", "generated_from_trainer", "hf-asr-leaderboard", "robust-speech-event"], "datasets": ["common_voice"], "model-index": [{"name": "wav2vec2-xls-r-300m-eo", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Common Voice 7", "type": "mozilla-foundation/common_voice_7_0", "args": "eo"}, "metrics": [{"type": "wer", "value": 34.72, "name": "Test WER"}, {"type": "cer", "value": 7.54, "name": "Test CER"}]}]}]}
transformers pytorch wav2vec2 automatic-speech-recognition common_voice eo generated_from_trainer hf-asr-leaderboard robust-speech-event dataset:common_voice license:apache-2.0 model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #common_voice #eo #generated_from_trainer #hf-asr-leaderboard #robust-speech-event #dataset-common_voice #license-apache-2.0 #model-index #endpoints_compatible #region-us 

wav2vec2-xls-r-300m-eo
======================


This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON\_VOICE - EO dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2584
* Wer: 0.3114


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: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20.0
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.17.0.dev0
* Pytorch 1.10.2+cu102
* Datasets 1.18.2.dev0
* Tokenizers 0.11.0


#### Evaluation Commands


1. To evaluate on 'mozilla-foundation/common\_voice\_7\_0' with split 'test'



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0003
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.17.0.dev0
* Pytorch 1.10.2+cu102
* Datasets 1.18.2.dev0
* Tokenizers 0.11.0 #### Evaluation Commands


1. To evaluate on 'mozilla-foundation/common\_voice\_7\_0' with split 'test'
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #common_voice #eo #generated_from_trainer #hf-asr-leaderboard #robust-speech-event #dataset-common_voice #license-apache-2.0 #model-index #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0003
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.17.0.dev0
* Pytorch 1.10.2+cu102
* Datasets 1.18.2.dev0
* Tokenizers 0.11.0 #### Evaluation Commands


1. To evaluate on 'mozilla-foundation/common\_voice\_7\_0' with split 'test'
passage: TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #common_voice #eo #generated_from_trainer #hf-asr-leaderboard #robust-speech-event #dataset-common_voice #license-apache-2.0 #model-index #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0003
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20.0
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.17.0.dev0
* Pytorch 1.10.2+cu102
* Datasets 1.18.2.dev0
* Tokenizers 0.11.0#### Evaluation Commands


1. To evaluate on 'mozilla-foundation/common\_voice\_7\_0' with split 'test'