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# Classfication_longformer

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1012
- Accuracy: 0.65

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 37   | 0.9535          | 0.7895   |
| No log        | 2.0   | 74   | 1.0426          | 0.4737   |
| No log        | 3.0   | 111  | 0.4770          | 0.8947   |
| No log        | 4.0   | 148  | 0.9353          | 0.6316   |
| No log        | 5.0   | 185  | 0.8856          | 0.6842   |
| No log        | 6.0   | 222  | 0.6509          | 0.8421   |
| No log        | 7.0   | 259  | 1.7107          | 0.6842   |
| No log        | 8.0   | 296  | 1.2910          | 0.7368   |
| No log        | 9.0   | 333  | 2.6230          | 0.6316   |
| No log        | 10.0  | 370  | 1.6727          | 0.6842   |
| No log        | 11.0  | 407  | 2.1794          | 0.6842   |
| No log        | 12.0  | 444  | 2.2832          | 0.6842   |
| No log        | 13.0  | 481  | 1.5007          | 0.7368   |
| 0.3791        | 14.0  | 518  | 2.3911          | 0.6842   |
| 0.3791        | 15.0  | 555  | 2.2838          | 0.6842   |
| 0.3791        | 16.0  | 592  | 2.1564          | 0.6842   |
| 0.3791        | 17.0  | 629  | 2.2632          | 0.6842   |
| 0.3791        | 18.0  | 666  | 2.3907          | 0.6842   |
| 0.3791        | 19.0  | 703  | 2.3995          | 0.6842   |
| 0.3791        | 20.0  | 740  | 2.3958          | 0.6842   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "Classfication_longformer", "results": []}]}
transformers pytorch tensorboard longformer text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #longformer #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

Classfication\_longformer
=========================


This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.1012
* Accuracy: 0.65


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: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #longformer #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #longformer #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2