---
license: apache-2.0
base_model: mnaylor/mega-base-wikitext
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mega-base-wikitext-finetuned-INCIBE
  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. -->

# mega-base-wikitext-finetuned-INCIBE

This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5169
- Accuracy: 0.3850

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 196  | 1.5359          | 0.3742   |
| No log        | 2.0   | 392  | 1.5257          | 0.3753   |
| 1.5035        | 3.0   | 588  | 1.5320          | 0.3719   |
| 1.5035        | 4.0   | 784  | 1.5231          | 0.3715   |
| 1.5035        | 5.0   | 980  | 1.5203          | 0.3745   |
| 1.4755        | 6.0   | 1176 | 1.5217          | 0.3742   |
| 1.4755        | 7.0   | 1372 | 1.5301          | 0.3719   |
| 1.4531        | 8.0   | 1568 | 1.5131          | 0.3805   |
| 1.4531        | 9.0   | 1764 | 1.5212          | 0.3783   |
| 1.4531        | 10.0  | 1960 | 1.5173          | 0.3771   |
| 1.4426        | 11.0  | 2156 | 1.5190          | 0.3809   |
| 1.4426        | 12.0  | 2352 | 1.5122          | 0.3794   |
| 1.4238        | 13.0  | 2548 | 1.5129          | 0.3794   |
| 1.4238        | 14.0  | 2744 | 1.5176          | 0.3783   |
| 1.4238        | 15.0  | 2940 | 1.5139          | 0.3783   |
| 1.4161        | 16.0  | 3136 | 1.5235          | 0.3805   |
| 1.4161        | 17.0  | 3332 | 1.5125          | 0.3846   |
| 1.4115        | 18.0  | 3528 | 1.5171          | 0.3827   |
| 1.4115        | 19.0  | 3724 | 1.5112          | 0.3827   |
| 1.4115        | 20.0  | 3920 | 1.5123          | 0.3816   |
| 1.4052        | 21.0  | 4116 | 1.5126          | 0.3827   |
| 1.4052        | 22.0  | 4312 | 1.5170          | 0.3850   |
| 1.4004        | 23.0  | 4508 | 1.5135          | 0.3805   |
| 1.4004        | 24.0  | 4704 | 1.5157          | 0.3809   |
| 1.4004        | 25.0  | 4900 | 1.5160          | 0.3824   |


### Framework versions

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