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

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: 1.9914
- Accuracy: 0.8207

## 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   | 11   | 2.1216          | 0.4552   |
| No log        | 2.0   | 22   | 1.9996          | 0.8207   |
| No log        | 3.0   | 33   | 1.8810          | 0.8138   |
| No log        | 4.0   | 44   | 1.7691          | 0.8138   |
| No log        | 5.0   | 55   | 1.6643          | 0.8138   |
| No log        | 6.0   | 66   | 1.5688          | 0.8138   |
| No log        | 7.0   | 77   | 1.4820          | 0.8138   |
| No log        | 8.0   | 88   | 1.4057          | 0.8138   |
| No log        | 9.0   | 99   | 1.3398          | 0.8138   |
| No log        | 10.0  | 110  | 1.2837          | 0.8138   |
| No log        | 11.0  | 121  | 1.2361          | 0.8138   |
| No log        | 12.0  | 132  | 1.1960          | 0.8138   |
| No log        | 13.0  | 143  | 1.1628          | 0.8138   |
| No log        | 14.0  | 154  | 1.1352          | 0.8138   |
| No log        | 15.0  | 165  | 1.1129          | 0.8138   |
| No log        | 16.0  | 176  | 1.0944          | 0.8138   |
| No log        | 17.0  | 187  | 1.0790          | 0.8138   |
| No log        | 18.0  | 198  | 1.0664          | 0.8138   |
| No log        | 19.0  | 209  | 1.0561          | 0.8138   |
| No log        | 20.0  | 220  | 1.0480          | 0.8138   |
| No log        | 21.0  | 231  | 1.0416          | 0.8138   |
| No log        | 22.0  | 242  | 1.0368          | 0.8138   |
| No log        | 23.0  | 253  | 1.0334          | 0.8138   |
| No log        | 24.0  | 264  | 1.0314          | 0.8138   |
| No log        | 25.0  | 275  | 1.0307          | 0.8138   |


### Framework versions

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