flan-t5-qg-LearningQ-tarek-test

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5467
• Rouge1: 23.3609
• Rouge2: 6.4496
• Rougel: 21.0496
• Rougelsum: 21.0448
• Gen Len: 16.0969

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.6121	1.0	23583	1.5712	23.2734	6.348	20.9409	20.9334	16.1707
1.5369	2.0	47166	1.5467	23.3609	6.4496	21.0496	21.0448	16.0969

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3