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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-cvs-estimation-years-experience
results: []
---
<!-- 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. -->
# 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: 10.7856
- Rmse: 3.2841
## 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 | Rmse |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 10.34 | 300 | 11.7566 | 3.4288 |
| 3.7071 | 20.69 | 600 | 12.8262 | 3.5814 |
| 3.7071 | 31.03 | 900 | 11.1449 | 3.3384 |
| 0.1675 | 41.38 | 1200 | 10.7856 | 3.2841 |
### Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1
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