nizarh1999/final_test_classification

classification_final

This model is a fine-tuned version of yhavinga/t5-small-24L-ccmatrix-multi on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0695
• F1: 0.9782

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: 0.0001
• 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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	110	0.2572	0.2326
No log	2.0	220	0.0883	0.9652
No log	3.0	330	0.0744	0.9694
No log	4.0	440	0.1080	0.9614
0.1321	5.0	550	0.0685	0.9782
0.1321	6.0	660	0.0695	0.9782

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2