---
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: custom_bert
  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. -->

# custom_bert

This model is a fine-tuned version of [](https://huggingface.co/) on the eli5_category dataset.
It achieves the following results on the evaluation set:
- Loss: 6.7038

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 7.2917        | 1.0   | 1326 | 6.9082          |
| 6.8038        | 2.0   | 2652 | 6.8164          |
| 6.7413        | 3.0   | 3978 | 6.7508          |
| 6.6956        | 4.0   | 5304 | 6.7371          |
| 6.6856        | 5.0   | 6630 | 6.7080          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1