---
library_name: transformers
license: mit
base_model: prajjwal1/bert-tiny
tags:
- generated_from_trainer
model-index:
- name: results_tinybert
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# results_tinybert

This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1869

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.22          | 1.0   | 1399 | 0.1804          |
| 0.1415        | 2.0   | 2798 | 0.1627          |
| 0.1872        | 3.0   | 4197 | 0.1736          |
| 0.1603        | 4.0   | 5596 | 0.1807          |
| 0.1039        | 5.0   | 6995 | 0.1869          |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.1