---
license: apache-2.0
base_model: bayesian4042/bert_finetuned_resume
tags:
- generated_from_trainer
model-index:
- name: exp_number0
  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. -->

# exp_number0

This model is a fine-tuned version of [bayesian4042/bert_finetuned_resume](https://huggingface.co/bayesian4042/bert_finetuned_resume) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3488

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3968        | 1.0   | 208  | 0.5322          |
| 0.476         | 2.0   | 416  | 0.3813          |
| 0.3421        | 3.0   | 624  | 0.3777          |
| 0.2195        | 4.0   | 832  | 0.3807          |
| 0.3476        | 5.0   | 1040 | 0.3488          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1