---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: bert-base-cased
model-index:
- name: mi-see-supermodel
  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. -->

# mi-see-supermodel

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4912
- Accuracy: 0.34

## 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: 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4775        | 0.13  | 5    | 1.6354          | 0.19     |
| 1.6511        | 0.26  | 10   | 1.6385          | 0.18     |
| 1.5773        | 0.39  | 15   | 1.5964          | 0.23     |
| 1.5297        | 0.53  | 20   | 1.5573          | 0.27     |
| 1.5219        | 0.66  | 25   | 1.5350          | 0.3      |
| 1.459         | 0.79  | 30   | 1.5178          | 0.32     |
| 1.5498        | 0.92  | 35   | 1.4912          | 0.34     |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.3.0
- Datasets 2.18.0
- Tokenizers 0.15.1