---
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: my_awesome_eli5_clm-model-no-mlp-attn-12
  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-no-mlp-attn-12

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: 4.3354

## 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

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.1962        | 1.0   | 3582  | 4.9830          |
| 4.8627        | 2.0   | 7164  | 4.6873          |
| 4.7021        | 3.0   | 10746 | 4.5549          |
| 4.6082        | 4.0   | 14328 | 4.4773          |
| 4.5405        | 5.0   | 17910 | 4.4202          |
| 4.4938        | 6.0   | 21492 | 4.3894          |
| 4.4539        | 7.0   | 25074 | 4.3626          |
| 4.4373        | 8.0   | 28656 | 4.3480          |
| 4.4261        | 9.0   | 32238 | 4.3379          |
| 4.4208        | 10.0  | 35820 | 4.3354          |


### Framework versions

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