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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-cvs-estimation-years-experience
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-cvs-estimation-years-experience
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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.
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It achieves the following results on the evaluation set:
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- Loss: 10.7856
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- Rmse: 3.2841
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 20
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rmse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 10.34 | 300 | 11.7566 | 3.4288 |
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| 3.7071 | 20.69 | 600 | 12.8262 | 3.5814 |
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| 3.7071 | 31.03 | 900 | 11.1449 | 3.3384 |
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| 0.1675 | 41.38 | 1200 | 10.7856 | 3.2841 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.0+cu102
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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