vit5-base-transcript-summarizer

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5995
• Rouge1: 52.1518
• Rouge2: 28.7254
• Rougel: 41.1877
• Rougelsum: 46.0726
• Gen Len: 16.5342

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.6432	1.0	1842	0.6072	50.2818	27.4589	39.9803	44.436	15.7775
0.5389	2.0	3684	0.5928	51.449	28.8498	41.1803	45.7102	16.2433
0.4847	3.0	5526	0.5941	51.2837	28.3449	40.5158	45.1193	16.0562
0.4398	4.0	7368	0.5995	52.1518	28.7254	41.1877	46.0726	16.5342

Framework versions

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