---
library_name: transformers
license: mit
base_model: prajjwal1/bert-tiny
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: test
  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. -->

# test

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: 0.6897
- F1: 0.0
- Roc Auc: 0.5

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1  | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|
| No log        | 1.0   | 1    | 0.6870          | 0.0 | 0.5     |
| No log        | 2.0   | 2    | 0.6871          | 0.0 | 0.5     |
| No log        | 3.0   | 3    | 0.6873          | 0.0 | 0.5     |
| No log        | 4.0   | 4    | 0.6876          | 0.0 | 0.5     |
| No log        | 5.0   | 5    | 0.6879          | 0.0 | 0.5     |
| No log        | 6.0   | 6    | 0.6887          | 0.0 | 0.5     |
| No log        | 7.0   | 7    | 0.6893          | 0.0 | 0.5     |
| No log        | 8.0   | 8    | 0.6891          | 0.0 | 0.5     |
| No log        | 9.0   | 9    | 0.6893          | 0.0 | 0.5     |
| No log        | 10.0  | 10   | 0.6889          | 0.0 | 0.5     |
| No log        | 11.0  | 11   | 0.6889          | 0.0 | 0.5     |
| No log        | 12.0  | 12   | 0.6885          | 0.0 | 0.5     |
| No log        | 13.0  | 13   | 0.6881          | 0.0 | 0.5     |
| No log        | 14.0  | 14   | 0.6879          | 0.0 | 0.5     |
| No log        | 15.0  | 15   | 0.6876          | 0.0 | 0.5     |
| No log        | 16.0  | 16   | 0.6874          | 0.0 | 0.5     |
| No log        | 17.0  | 17   | 0.6871          | 0.0 | 0.5     |
| No log        | 18.0  | 18   | 0.6869          | 0.0 | 0.5     |
| No log        | 19.0  | 19   | 0.6868          | 0.0 | 0.5     |
| No log        | 20.0  | 20   | 0.6867          | 0.0 | 0.5     |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cpu
- Datasets 4.1.0
- Tokenizers 0.22.0