---
license: apache-2.0
base_model: Ariffiq99/KUCI_e_care_CRAB_bert_base_uncased_Finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: COPA_KUCI_e_care_CRAB_Bert_Base_Uncased_Finetuned
  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. -->

# COPA_KUCI_e_care_CRAB_Bert_Base_Uncased_Finetuned

This model is a fine-tuned version of [Ariffiq99/KUCI_e_care_CRAB_bert_base_uncased_Finetuned](https://huggingface.co/Ariffiq99/KUCI_e_care_CRAB_bert_base_uncased_Finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6941
- F1: 0.7490

## 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: 1e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 63   | 0.6049          | 0.6926 |
| No log        | 2.0   | 126  | 0.5380          | 0.7355 |
| No log        | 3.0   | 189  | 0.5461          | 0.7401 |
| No log        | 4.0   | 252  | 0.5743          | 0.7427 |
| No log        | 5.0   | 315  | 0.6343          | 0.7484 |
| No log        | 6.0   | 378  | 0.6545          | 0.7490 |
| No log        | 7.0   | 441  | 0.6668          | 0.7500 |
| 0.3649        | 8.0   | 504  | 0.6867          | 0.7505 |
| 0.3649        | 9.0   | 567  | 0.6935          | 0.7437 |
| 0.3649        | 10.0  | 630  | 0.6941          | 0.7490 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1