---
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: my_awesome_eli5_clm-model
  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. -->

# my_awesome_eli5_clm-model

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: 5.0581

## 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: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.2767        | 1.0   | 14337 | 5.2108          |
| 5.1267        | 2.0   | 28674 | 5.0879          |
| 5.0988        | 3.0   | 43011 | 5.0581          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1