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# mobilebert_sa_GLUE_Experiment_data_aug_mrpc_256

This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- F1: 1.0
- Combined Score: 1.0

## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Combined Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
| 0.1854        | 1.0   | 1959  | 0.0199          | 0.9975   | 0.9982 | 0.9979         |
| 0.04          | 2.0   | 3918  | 0.0050          | 0.9975   | 0.9982 | 0.9979         |
| 0.0253        | 3.0   | 5877  | 0.0015          | 1.0      | 1.0    | 1.0            |
| 0.0175        | 4.0   | 7836  | 0.0003          | 1.0      | 1.0    | 1.0            |
| 0.0134        | 5.0   | 9795  | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0107        | 6.0   | 11754 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0081        | 7.0   | 13713 | 0.0012          | 1.0      | 1.0    | 1.0            |
| 0.0062        | 8.0   | 15672 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0061        | 9.0   | 17631 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0044        | 10.0  | 19590 | 0.0002          | 1.0      | 1.0    | 1.0            |
| 0.0041        | 11.0  | 21549 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0034        | 12.0  | 23508 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0029        | 13.0  | 25467 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0016        | 14.0  | 27426 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0019        | 15.0  | 29385 | 0.0140          | 0.9975   | 0.9982 | 0.9979         |
| 0.0018        | 16.0  | 31344 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0012        | 17.0  | 33303 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0013        | 18.0  | 35262 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0008        | 19.0  | 37221 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0011        | 20.0  | 39180 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0005        | 21.0  | 41139 | 0.0007          | 1.0      | 1.0    | 1.0            |
| 0.0009        | 22.0  | 43098 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0004        | 23.0  | 45057 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0004        | 24.0  | 47016 | 0.0000          | 1.0      | 1.0    | 1.0            |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2

{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "mobilebert_sa_GLUE_Experiment_data_aug_mrpc_256", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE MRPC", "type": "glue", "args": "mrpc"}, "metrics": [{"type": "accuracy", "value": 1.0, "name": "Accuracy"}, {"type": "f1", "value": 1.0, "name": "F1"}]}]}]}
transformers pytorch tensorboard mobilebert text-classification generated_from_trainer en dataset:glue license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #mobilebert #text-classification #generated_from_trainer #en #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

mobilebert\_sa\_GLUE\_Experiment\_data\_aug\_mrpc\_256
======================================================


This model is a fine-tuned version of google/mobilebert-uncased on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0000
* Accuracy: 1.0
* F1: 1.0
* Combined Score: 1.0


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: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 10
* distributed\_type: multi-GPU
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.14.0a0+410ce96
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 10
* distributed\_type: multi-GPU
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.14.0a0+410ce96
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #mobilebert #text-classification #generated_from_trainer #en #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 10
* distributed\_type: multi-GPU
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.14.0a0+410ce96
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #mobilebert #text-classification #generated_from_trainer #en #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 10
* distributed\_type: multi-GPU
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50### Training results### Framework versions


* Transformers 4.26.0
* Pytorch 1.14.0a0+410ce96
* Datasets 2.9.0
* Tokenizers 0.13.2