|
--- |
|
license: apache-2.0 |
|
base_model: Ariffiq99/KUCI_albert_base_Finetuned |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: COPA_KUCI_albert_base_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_albert_base_finetuned |
|
|
|
This model is a fine-tuned version of [Ariffiq99/KUCI_albert_base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_albert_base_Finetuned) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8369 |
|
- F1: 0.66 |
|
|
|
## 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 | 0.6800 | 0.594 | |
|
| No log | 2.0 | 126 | 0.6468 | 0.634 | |
|
| No log | 3.0 | 189 | 0.5869 | 0.684 | |
|
| No log | 4.0 | 252 | 0.6086 | 0.674 | |
|
| No log | 5.0 | 315 | 0.6420 | 0.678 | |
|
| No log | 6.0 | 378 | 0.6865 | 0.68 | |
|
| No log | 7.0 | 441 | 0.7413 | 0.67 | |
|
| 0.3908 | 8.0 | 504 | 0.7772 | 0.648 | |
|
| 0.3908 | 9.0 | 567 | 0.8282 | 0.662 | |
|
| 0.3908 | 10.0 | 630 | 0.8369 | 0.66 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|
