---
tags:
- generated_from_trainer
datasets:
- Hartunka/processed_wikitext-103-raw-v1-rand-5_v2
metrics:
- accuracy
model-index:
- name: tiny_bert_rand_5_v2
  results:
  - task:
      name: Masked Language Modeling
      type: fill-mask
    dataset:
      name: Hartunka/processed_wikitext-103-raw-v1-rand-5_v2
      type: Hartunka/processed_wikitext-103-raw-v1-rand-5_v2
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.15245521839859863
---

<!-- 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. -->

# tiny_bert_rand_5_v2

This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-rand-5_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 7.7873
- Accuracy: 0.1525

## 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: 0.0001
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 25

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 7.7678        | 4.1982  | 10000 | 7.7793          | 0.1511   |
| 7.5134        | 8.3963  | 20000 | 7.7845          | 0.1527   |
| 7.2592        | 12.5945 | 30000 | 7.9267          | 0.1541   |
| 6.8741        | 16.7926 | 40000 | 8.3080          | 0.1518   |
| 6.5784        | 20.9908 | 50000 | 8.9658          | 0.1511   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.19.1