COPA_CRAB_Bert_Base_Uncased_Finetuned

This model is a fine-tuned version of Ariffiq99/CRAB_bert_base_uncased_finetuned on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6690
• F1: 0.7181

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	0.6481	0.6345
No log	2.0	126	0.5997	0.6829
No log	3.0	189	0.5723	0.6944
No log	4.0	252	0.5751	0.6898
No log	5.0	315	0.5906	0.7149
No log	6.0	378	0.6036	0.7273
No log	7.0	441	0.6245	0.7280
0.4609	8.0	504	0.6476	0.7213
0.4609	9.0	567	0.6688	0.7181
0.4609	10.0	630	0.6690	0.7181

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1