
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# tiny-mlm-glue-cola-custom-tokenizer-target-glue-mnli

This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-cola-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-cola-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8453
- Accuracy: 0.6219

## 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 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.0867        | 0.04  | 500   | 1.0660          | 0.4244   |
| 1.0666        | 0.08  | 1000  | 1.0513          | 0.4444   |
| 1.0546        | 0.12  | 1500  | 1.0457          | 0.4512   |
| 1.049         | 0.16  | 2000  | 1.0372          | 0.4629   |
| 1.0419        | 0.2   | 2500  | 1.0297          | 0.4678   |
| 1.0351        | 0.24  | 3000  | 1.0151          | 0.4927   |
| 1.0061        | 0.29  | 3500  | 0.9871          | 0.5226   |
| 0.9924        | 0.33  | 4000  | 0.9772          | 0.5319   |
| 0.9733        | 0.37  | 4500  | 0.9672          | 0.5387   |
| 0.9704        | 0.41  | 5000  | 0.9534          | 0.5461   |
| 0.9603        | 0.45  | 5500  | 0.9442          | 0.5535   |
| 0.9572        | 0.49  | 6000  | 0.9423          | 0.5526   |
| 0.9537        | 0.53  | 6500  | 0.9302          | 0.5634   |
| 0.9487        | 0.57  | 7000  | 0.9320          | 0.5640   |
| 0.9413        | 0.61  | 7500  | 0.9145          | 0.5737   |
| 0.9348        | 0.65  | 8000  | 0.9110          | 0.5728   |
| 0.9305        | 0.69  | 8500  | 0.9089          | 0.5793   |
| 0.9244        | 0.73  | 9000  | 0.8992          | 0.5836   |
| 0.9242        | 0.77  | 9500  | 0.8970          | 0.5835   |
| 0.915         | 0.81  | 10000 | 0.8926          | 0.5851   |
| 0.9142        | 0.86  | 10500 | 0.8912          | 0.5901   |
| 0.9129        | 0.9   | 11000 | 0.8825          | 0.5965   |
| 0.9049        | 0.94  | 11500 | 0.8792          | 0.5998   |
| 0.9109        | 0.98  | 12000 | 0.8785          | 0.5977   |
| 0.8934        | 1.02  | 12500 | 0.8775          | 0.6016   |
| 0.8901        | 1.06  | 13000 | 0.8760          | 0.5989   |
| 0.8905        | 1.1   | 13500 | 0.8650          | 0.6050   |
| 0.8774        | 1.14  | 14000 | 0.8676          | 0.6051   |
| 0.8826        | 1.18  | 14500 | 0.8619          | 0.6089   |
| 0.8762        | 1.22  | 15000 | 0.8715          | 0.6030   |
| 0.8787        | 1.26  | 15500 | 0.8623          | 0.6120   |
| 0.8732        | 1.3   | 16000 | 0.8667          | 0.6092   |
| 0.8765        | 1.34  | 16500 | 0.8608          | 0.6092   |
| 0.8841        | 1.39  | 17000 | 0.8572          | 0.6128   |
| 0.877         | 1.43  | 17500 | 0.8604          | 0.6163   |
| 0.8724        | 1.47  | 18000 | 0.8538          | 0.6137   |
| 0.8712        | 1.51  | 18500 | 0.8496          | 0.6185   |
| 0.8735        | 1.55  | 19000 | 0.8515          | 0.6186   |
| 0.8705        | 1.59  | 19500 | 0.8471          | 0.6230   |
| 0.8676        | 1.63  | 20000 | 0.8476          | 0.6168   |
| 0.8655        | 1.67  | 20500 | 0.8503          | 0.6210   |
| 0.869         | 1.71  | 21000 | 0.8453          | 0.6219   |


### 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": ["accuracy"], "model-index": [{"name": "tiny-mlm-glue-cola-custom-tokenizer-target-glue-mnli", "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-cola-custom-tokenizer-target-glue-mnli
====================================================


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


* Loss: 0.8453
* Accuracy: 0.6219


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