Vit-GPT2-UCA-UCF-07

This model is a fine-tuned version of NourFakih/Vit-GPT2-UCA-UCF-06 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1968
• Rouge1: 34.6433
• Rouge2: 13.5351
• Rougel: 29.5099
• Rougelsum: 30.0007
• Gen Len: 16.002

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.4617	0.5469	500	0.1655	34.1712	12.9219	29.0744	29.6374	16.407
0.4256	1.0930	1000	0.1755	34.2664	13.121	29.2664	29.8242	15.724
0.3498	1.6399	1500	0.1807	34.9169	13.5342	29.5801	30.157	16.269
0.3158	2.1859	2000	0.1921	33.9586	12.8412	28.6693	29.1732	16.157
0.2768	2.7328	2500	0.1968	34.6433	13.5351	29.5099	30.0007	16.002

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0