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# bert-cvs-estimation-years-experience

This model is a fine-tuned version of [jhonparra18/bert-base-cased-cv-studio_name-medium](https://huggingface.co/jhonparra18/bert-base-cased-cv-studio_name-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 9.4494
- Mse: 9.4494
- Mae: 2.0686
- R2: 0.4131
- Accuracy: 0.2586

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse     | Mae    | R2     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:--------:|
| No log        | 10.34 | 300  | 10.5131         | 10.5131 | 2.2140 | 0.3470 | 0.2759   |
| 3.3802        | 20.69 | 600  | 9.1915          | 9.1915  | 2.0780 | 0.4291 | 0.2759   |
| 3.3802        | 31.03 | 900  | 8.8261          | 8.8261  | 1.9359 | 0.4518 | 0.2931   |
| 0.1613        | 41.38 | 1200 | 9.4494          | 9.4494  | 2.0686 | 0.4131 | 0.2586   |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.0+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "bert-cvs-estimation-years-experience", "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 

bert-cvs-estimation-years-experience
====================================


This model is a fine-tuned version of jhonparra18/bert-base-cased-cv-studio\_name-medium on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 9.4494
* Mse: 9.4494
* Mae: 2.0686
* R2: 0.4131
* Accuracy: 0.2586


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: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 20
* num\_epochs: 50


### Training results



### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu102
* Datasets 2.4.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 20
* num\_epochs: 50 ### Training results ### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu102
* Datasets 2.4.0
* Tokenizers 0.12.1
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: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 20
* num\_epochs: 50 ### Training results ### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu102
* Datasets 2.4.0
* Tokenizers 0.12.1
passage: 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: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 20
* num\_epochs: 50### Training results### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu102
* Datasets 2.4.0
* Tokenizers 0.12.1