---
tags:
- generated_from_trainer
metrics:
- recall
- precision
- f1
model-index:
- name: checkpoint-97-2ep3bsfrmulti2
  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. -->

# checkpoint-97-2ep3bsfrmulti2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2816
- Recall: 0.9677
- Precision: 0.8108
- F1: 0.8824
- Roc Auc: 0.5206

## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 194

### Training results

| Training Loss | Epoch | Step | Validation Loss | Recall | Precision | F1     | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:-------:|
| 0.4534        | 0.5   | 97   | 0.8642          | 1.0    | 0.6458    | 0.7848 | 0.6804  |
| 0.0011        | 1.5   | 194  | 0.2816          | 0.9677 | 0.8108    | 0.8824 | 0.5206  |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2