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# 42

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the SST2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3109
- Accuracy: 0.9255

## 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
- distributed_type: not_parallel
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log        | 1.0   | 2105  | 0.2167          | 0.9232   |
| 0.2049        | 2.0   | 4210  | 0.2375          | 0.9278   |
| 0.123         | 3.0   | 6315  | 0.2636          | 0.9243   |
| 0.0839        | 4.0   | 8420  | 0.2865          | 0.9243   |
| 0.058         | 5.0   | 10525 | 0.3109          | 0.9255   |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu113
- Datasets 2.7.1
- Tokenizers 0.11.6

{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["sst2"], "metrics": ["accuracy"], "model-index": [{"name": "42", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "SST2", "type": "glue", "args": "sst2"}, "metrics": [{"type": "accuracy", "value": 0.9254587155963303, "name": "Accuracy"}]}]}]}
transformers pytorch bert text-classification generated_from_trainer en dataset:sst2 license:apache-2.0 model-index autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-sst2 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us 

42
==


This model is a fine-tuned version of bert-large-uncased on the SST2 dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3109
* Accuracy: 0.9255


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
* distributed\_type: not\_parallel
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5


### Training results



### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.0+cu113
* Datasets 2.7.1
* Tokenizers 0.11.6



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* distributed\_type: not\_parallel
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.0+cu113
* Datasets 2.7.1
* Tokenizers 0.11.6
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-sst2 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #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
* distributed\_type: not\_parallel
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.0+cu113
* Datasets 2.7.1
* Tokenizers 0.11.6
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-sst2 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #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
* distributed\_type: not\_parallel
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5### Training results### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.0+cu113
* Datasets 2.7.1
* Tokenizers 0.11.6