transformers tensorboard safetensors bert fill-mask generated_from_trainer base_model:cointegrated/rubert-tiny license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: cointegrated/rubert-tiny
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned-tiny-bert
  results: []
---

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

This model is a fine-tuned version of [cointegrated/rubert-tiny](https://huggingface.co/cointegrated/rubert-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5832
- Accuracy: 0.5167

## 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: 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: 1.0

### Training results



### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
