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# tiny-mlm-glue-mrpc-target-glue-stsb

This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-mrpc](https://huggingface.co/muhtasham/tiny-mlm-glue-mrpc) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9256
- Pearson: 0.8144
- Spearmanr: 0.8124

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
| 2.9549        | 2.78  | 500  | 1.1776          | 0.7187  | 0.7620    |
| 0.9497        | 5.56  | 1000 | 1.1286          | 0.7777  | 0.8045    |
| 0.7413        | 8.33  | 1500 | 1.0286          | 0.8024  | 0.8197    |
| 0.6158        | 11.11 | 2000 | 0.8676          | 0.8181  | 0.8232    |
| 0.5192        | 13.89 | 2500 | 0.9099          | 0.8164  | 0.8193    |
| 0.4693        | 16.67 | 3000 | 1.0002          | 0.8169  | 0.8212    |
| 0.4144        | 19.44 | 3500 | 0.8905          | 0.8185  | 0.8185    |
| 0.3768        | 22.22 | 4000 | 0.9210          | 0.8193  | 0.8191    |
| 0.3443        | 25.0  | 4500 | 0.9723          | 0.8201  | 0.8206    |
| 0.3212        | 27.78 | 5000 | 0.9919          | 0.8157  | 0.8162    |
| 0.3032        | 30.56 | 5500 | 0.9692          | 0.8164  | 0.8162    |
| 0.2797        | 33.33 | 6000 | 0.9256          | 0.8144  | 0.8124    |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["spearmanr"], "model-index": [{"name": "tiny-mlm-glue-mrpc-target-glue-stsb", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

tiny-mlm-glue-mrpc-target-glue-stsb
===================================


This model is a fine-tuned version of muhtasham/tiny-mlm-glue-mrpc on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.9256
* Pearson: 0.8144
* Spearmanr: 0.8124


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: 3e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 200


### Training results



### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 200 ### Training results ### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 200 ### Training results ### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 200### Training results### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2