---
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: my_awesome_eli5_clm-model-no-mlp-attn-15
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# my_awesome_eli5_clm-model-no-mlp-attn-15

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: 4.1544

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.3748        | 1.0   | 3582  | 4.2940          |
| 4.3221        | 2.0   | 7164  | 4.2542          |
| 4.2832        | 3.0   | 10746 | 4.2297          |
| 4.2567        | 4.0   | 14328 | 4.2082          |
| 4.2315        | 5.0   | 17910 | 4.1891          |
| 4.2127        | 6.0   | 21492 | 4.1764          |
| 4.195         | 7.0   | 25074 | 4.1666          |
| 4.1885        | 8.0   | 28656 | 4.1596          |
| 4.1839        | 9.0   | 32238 | 4.1548          |
| 4.1807        | 10.0  | 35820 | 4.1544          |


### Framework versions

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