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# wav2vec_asr_swbd_10_epochs

This model is a fine-tuned version of [facebook/wav2vec2-large-robust-ft-swbd-300h](https://huggingface.co/facebook/wav2vec2-large-robust-ft-swbd-300h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 0.9627

## 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: 0.0001
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Wer    |
|:-------------:|:-----:|:------:|:---------------:|:------:|
| 1.0682        | 0.22  | 5000   | 0.7383          | 0.4431 |
| 0.9143        | 0.44  | 10000  | 0.7182          | 0.4058 |
| 0.8905        | 0.66  | 15000  | 0.6291          | 0.3987 |
| 0.8354        | 0.87  | 20000  | 0.5976          | 0.3954 |
| 0.7749        | 1.09  | 25000  | 0.5773          | 0.3901 |
| 0.7336        | 1.31  | 30000  | 0.5812          | 0.3871 |
| 0.7314        | 1.53  | 35000  | 0.5802          | 0.3895 |
| 0.0           | 1.75  | 40000  | nan             | 0.9627 |
| 0.0           | 1.97  | 45000  | nan             | 0.9627 |
| 0.0           | 2.19  | 50000  | nan             | 0.9627 |
| 0.0           | 2.4   | 55000  | nan             | 0.9627 |
| 0.0           | 2.62  | 60000  | nan             | 0.9627 |
| 0.0           | 2.84  | 65000  | nan             | 0.9627 |
| 0.0           | 3.06  | 70000  | nan             | 0.9627 |
| 0.0           | 3.28  | 75000  | nan             | 0.9627 |
| 0.0           | 3.5   | 80000  | nan             | 0.9627 |
| 0.0           | 3.72  | 85000  | nan             | 0.9627 |
| 0.0           | 3.93  | 90000  | nan             | 0.9627 |
| 0.0           | 4.15  | 95000  | nan             | 0.9627 |
| 0.0           | 4.37  | 100000 | nan             | 0.9627 |
| 0.0           | 4.59  | 105000 | nan             | 0.9627 |
| 0.0           | 4.81  | 110000 | nan             | 0.9627 |
| 0.0           | 5.03  | 115000 | nan             | 0.9627 |
| 0.0           | 5.25  | 120000 | nan             | 0.9627 |
| 0.0           | 5.46  | 125000 | nan             | 0.9627 |
| 0.0           | 5.68  | 130000 | nan             | 0.9627 |
| 0.0           | 5.9   | 135000 | nan             | 0.9627 |
| 0.0           | 6.12  | 140000 | nan             | 0.9627 |
| 0.0           | 6.34  | 145000 | nan             | 0.9627 |
| 0.0           | 6.56  | 150000 | nan             | 0.9627 |
| 0.0           | 6.78  | 155000 | nan             | 0.9627 |
| 0.0           | 7.0   | 160000 | nan             | 0.9627 |
| 0.0           | 7.21  | 165000 | nan             | 0.9627 |
| 0.0           | 7.43  | 170000 | nan             | 0.9627 |
| 0.0           | 7.65  | 175000 | nan             | 0.9627 |
| 0.0           | 7.87  | 180000 | nan             | 0.9627 |
| 0.0           | 8.09  | 185000 | nan             | 0.9627 |
| 0.0           | 8.31  | 190000 | nan             | 0.9627 |
| 0.0           | 8.53  | 195000 | nan             | 0.9627 |
| 0.0           | 8.74  | 200000 | nan             | 0.9627 |
| 0.0           | 8.96  | 205000 | nan             | 0.9627 |
| 0.0           | 9.18  | 210000 | nan             | 0.9627 |
| 0.0           | 9.4   | 215000 | nan             | 0.9627 |
| 0.0           | 9.62  | 220000 | nan             | 0.9627 |
| 0.0           | 9.84  | 225000 | nan             | 0.9627 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.4
- Tokenizers 0.11.6

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "wav2vec_asr_swbd_10_epochs", "results": []}]}
transformers pytorch tensorboard wav2vec2 automatic-speech-recognition generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 

wav2vec\_asr\_swbd\_10\_epochs
==============================


This model is a fine-tuned version of facebook/wav2vec2-large-robust-ft-swbd-300h on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: nan
* Wer: 0.9627


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: 0.0001
* 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: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0+cu113
* Datasets 1.18.4
* Tokenizers 0.11.6



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* 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: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0+cu113
* Datasets 1.18.4
* Tokenizers 0.11.6
TAGS
#transformers #pytorch #tensorboard #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: 0.0001
* 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: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0+cu113
* Datasets 1.18.4
* Tokenizers 0.11.6
passage: TAGS
#transformers #pytorch #tensorboard #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: 0.0001
* 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: 10
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.17.0
* Pytorch 1.11.0+cu113
* Datasets 1.18.4
* Tokenizers 0.11.6