---
license: apache-2.0
base_model: Ariffiq99/COPA_Bert_Base_Uncased_Finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: KUCI_COPA_Bert_Base_Uncased_Finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# KUCI_COPA_Bert_Base_Uncased_Finetuned

This model is a fine-tuned version of [Ariffiq99/COPA_Bert_Base_Uncased_Finetuned](https://huggingface.co/Ariffiq99/COPA_Bert_Base_Uncased_Finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1247
- F1: 0.5208

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.2021        | 1.0   | 5196  | 1.1920          | 0.4673 |
| 1.1512        | 2.0   | 10392 | 1.1492          | 0.4987 |
| 1.1004        | 3.0   | 15588 | 1.1244          | 0.5088 |
| 1.0617        | 4.0   | 20784 | 1.1205          | 0.5191 |
| 1.025         | 5.0   | 25980 | 1.1247          | 0.5208 |


### Framework versions

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