---
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: 1.5428
- Accuracy: 0.3760

## 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  | 1.8660          | 0.2296   |
| No log        | 2.0   | 392  | 1.7639          | 0.2457   |
| 1.9099        | 3.0   | 588  | 1.7296          | 0.2528   |
| 1.9099        | 4.0   | 784  | 1.7125          | 0.2547   |
| 1.9099        | 5.0   | 980  | 1.7017          | 0.2595   |
| 1.7129        | 6.0   | 1176 | 1.6944          | 0.2946   |
| 1.7129        | 7.0   | 1372 | 1.6882          | 0.2872   |
| 1.6904        | 8.0   | 1568 | 1.6827          | 0.2830   |
| 1.6904        | 9.0   | 1764 | 1.6742          | 0.3204   |
| 1.6904        | 10.0  | 1960 | 1.6570          | 0.3312   |
| 1.6668        | 11.0  | 2156 | 1.6293          | 0.3514   |
| 1.6668        | 12.0  | 2352 | 1.6035          | 0.3555   |
| 1.6166        | 13.0  | 2548 | 1.5813          | 0.3607   |
| 1.6166        | 14.0  | 2744 | 1.5664          | 0.3671   |
| 1.6166        | 15.0  | 2940 | 1.5578          | 0.3715   |
| 1.5574        | 16.0  | 3136 | 1.5547          | 0.3715   |
| 1.5574        | 17.0  | 3332 | 1.5444          | 0.3738   |
| 1.5278        | 18.0  | 3528 | 1.5429          | 0.3760   |
| 1.5278        | 19.0  | 3724 | 1.5402          | 0.3757   |
| 1.5278        | 20.0  | 3920 | 1.5384          | 0.3738   |
| 1.5141        | 21.0  | 4116 | 1.5351          | 0.3745   |
| 1.5141        | 22.0  | 4312 | 1.5373          | 0.3738   |
| 1.5091        | 23.0  | 4508 | 1.5356          | 0.3715   |
| 1.5091        | 24.0  | 4704 | 1.5353          | 0.3730   |
| 1.5091        | 25.0  | 4900 | 1.5349          | 0.3734   |


### Framework versions

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