---
license: mit
base_model: prajjwal1/bert-tiny
tags:
- generated_from_trainer
model-index:
- name: bert-tiny-finetuned-wikitext2
  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. -->

# bert-tiny-finetuned-wikitext2

This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7805

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 3.5579        | 1.0   | 16295  | 3.1073          |
| 3.3944        | 2.0   | 32590  | 2.9692          |
| 3.2968        | 3.0   | 48885  | 2.8999          |
| 3.2654        | 4.0   | 65180  | 2.8584          |
| 3.2519        | 5.0   | 81475  | 2.8261          |
| 3.2435        | 6.0   | 97770  | 2.8016          |
| 3.2276        | 7.0   | 114065 | 2.7961          |
| 3.1999        | 8.0   | 130360 | 2.7843          |
| 3.1726        | 9.0   | 146655 | 2.7742          |
| 3.1774        | 10.0  | 162950 | 2.7833          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2