---
license: mit
base_model: Ariffiq99/COPA_xlm_roberta_large_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: CRAB_COPA_xlm_roberta_large_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. -->

# CRAB_COPA_xlm_roberta_large_finetuned

This model is a fine-tuned version of [Ariffiq99/COPA_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/COPA_xlm_roberta_large_finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8770
- F1: 0.7431

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.2894        | 1.0   | 2880  | 1.1210          | 0.6875 |
| 1.1707        | 2.0   | 5760  | 1.0398          | 0.6931 |
| 1.2412        | 3.0   | 8640  | 0.8893          | 0.7    |
| 0.9803        | 4.0   | 11520 | 0.9840          | 0.7028 |
| 1.0594        | 5.0   | 14400 | 0.7956          | 0.7292 |
| 1.0075        | 6.0   | 17280 | 0.8607          | 0.7278 |
| 0.9799        | 7.0   | 20160 | 0.8596          | 0.7347 |
| 1.0215        | 8.0   | 23040 | 0.8770          | 0.7431 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1