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# BertGoodCommitPreprocessed

This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5242
- Accuracy: 0.8424

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 24   | 0.5858          | 0.6788   |
| No log        | 2.0   | 48   | 0.5640          | 0.7273   |
| No log        | 3.0   | 72   | 0.5381          | 0.7394   |
| No log        | 4.0   | 96   | 0.5246          | 0.7394   |
| No log        | 5.0   | 120  | 0.5214          | 0.7394   |
| No log        | 6.0   | 144  | 0.5093          | 0.7394   |
| No log        | 7.0   | 168  | 0.4986          | 0.7515   |
| No log        | 8.0   | 192  | 0.5131          | 0.7455   |
| No log        | 9.0   | 216  | 0.5093          | 0.7697   |
| No log        | 10.0  | 240  | 0.5064          | 0.7758   |
| No log        | 11.0  | 264  | 0.5069          | 0.7697   |
| No log        | 12.0  | 288  | 0.4774          | 0.7818   |
| No log        | 13.0  | 312  | 0.5096          | 0.7879   |
| No log        | 14.0  | 336  | 0.4933          | 0.7939   |
| No log        | 15.0  | 360  | 0.4740          | 0.7939   |
| No log        | 16.0  | 384  | 0.4787          | 0.7939   |
| No log        | 17.0  | 408  | 0.4675          | 0.8      |
| No log        | 18.0  | 432  | 0.4971          | 0.8121   |
| No log        | 19.0  | 456  | 0.4935          | 0.8303   |
| No log        | 20.0  | 480  | 0.4947          | 0.8121   |
| 0.3574        | 21.0  | 504  | 0.4968          | 0.8242   |
| 0.3574        | 22.0  | 528  | 0.5158          | 0.8303   |
| 0.3574        | 23.0  | 552  | 0.5146          | 0.8061   |
| 0.3574        | 24.0  | 576  | 0.4963          | 0.8303   |
| 0.3574        | 25.0  | 600  | 0.5024          | 0.8182   |
| 0.3574        | 26.0  | 624  | 0.5069          | 0.8242   |
| 0.3574        | 27.0  | 648  | 0.5242          | 0.8424   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "BertGoodCommitPreprocessed", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 

BertGoodCommitPreprocessed
==========================


This model is a fine-tuned version of prajjwal1/bert-small on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.5242
* Accuracy: 0.8424


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: 1e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3