metadata
license: apache-2.0
base_model: Ariffiq99/KUCI_Bert_Base_Finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: CRAB_KUCI_bert_base_uncased_finetuned
results: []
CRAB_KUCI_bert_base_uncased_finetuned
This model is a fine-tuned version of Ariffiq99/KUCI_Bert_Base_Finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8564
- F1: 0.7236
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 |
|---|---|---|---|---|
| 0.9504 | 1.0 | 2880 | 0.7816 | 0.6917 |
| 0.6879 | 2.0 | 5760 | 0.7938 | 0.7014 |
| 0.9933 | 3.0 | 8640 | 0.8723 | 0.7111 |
| 0.5986 | 4.0 | 11520 | 0.9972 | 0.7167 |
| 0.625 | 5.0 | 14400 | 0.8638 | 0.7111 |
| 0.6556 | 6.0 | 17280 | 0.8865 | 0.7236 |
| 0.7406 | 7.0 | 20160 | 0.8676 | 0.7208 |
| 0.6502 | 8.0 | 23040 | 0.8564 | 0.7236 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1