---
base_model: jjzha/jobbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: jobbert-base-cased-compdecs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# jobbert-base-cased-compdecs

This model is a fine-tuned version of [jjzha/jobbert-base-cased](https://huggingface.co/jjzha/jobbert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4622

## 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: 10

### Training results



### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3