metadata
license: apache-2.0
base_model: Ariffiq99/COPA_KUCI_e_care_albert_base_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: CRAB_COPA_KUCI_e_care_albert_Base_Finetuned
results: []
CRAB_COPA_KUCI_e_care_albert_Base_Finetuned
This model is a fine-tuned version of Ariffiq99/COPA_KUCI_e_care_albert_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9405
- F1: 0.7194
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 |
|---|---|---|---|---|
| 1.3395 | 1.0 | 2880 | 1.5143 | 0.6472 |
| 1.1038 | 2.0 | 5760 | 1.0932 | 0.6958 |
| 1.096 | 3.0 | 8640 | 0.9943 | 0.7042 |
| 0.7217 | 4.0 | 11520 | 0.9354 | 0.7222 |
| 0.886 | 5.0 | 14400 | 0.9555 | 0.7181 |
| 0.6918 | 6.0 | 17280 | 0.9587 | 0.7167 |
| 0.7322 | 7.0 | 20160 | 0.8924 | 0.7181 |
| 0.6749 | 8.0 | 23040 | 0.9405 | 0.7194 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1