COPA_KUCI_albert_base_finetuned

This model is a fine-tuned version of 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