---
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: ber4
  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. -->

# ber4

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0477
- F1: 0.0
- Roc Auc: 0.5
- Accuracy: 0.0
- F1-macro: 0.5400
- Precision-micro: 0.0
- Precision-macro: 0.0
- Recall-micro: 0.0
- Recall-macro: 0.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy | F1-macro | Precision-micro | Precision-macro | Recall-micro | Recall-macro |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:|
| No log        | 1.0   | 121  | 0.2044          | 0.0038 | 0.4993  | 0.0      | 0.4692   | 0.0020          | 0.0002          | 0.1244       | 0.0563       |
| No log        | 2.0   | 242  | 0.0895          | 0.0    | 0.5     | 0.0      | 0.5400   | 0.0             | 0.0             | 0.0          | 0.0          |
| No log        | 3.0   | 363  | 0.0610          | 0.0    | 0.5     | 0.0      | 0.5400   | 0.0             | 0.0             | 0.0          | 0.0          |
| No log        | 4.0   | 484  | 0.0506          | 0.0    | 0.5     | 0.0      | 0.5400   | 0.0             | 0.0             | 0.0          | 0.0          |
| 0.17          | 5.0   | 605  | 0.0477          | 0.0    | 0.5     | 0.0      | 0.5400   | 0.0             | 0.0             | 0.0          | 0.0          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2