flan-t5-base-alphaX

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

• Loss: 2.0018
• Rouge1: 68.4722
• Rouge2: 61.0119
• Rougel: 68.4722
• Rougelsum: 68.4722
• Gen Len: 8.6667

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	2.8280	16.5064	7.7922	16.5064	15.3846	9.6667
No log	2.0	2	2.3357	62.2756	44.697	58.109	58.109	9.0
No log	3.0	3	2.1559	70.609	61.9589	70.609	70.609	7.8333
No log	4.0	4	2.0521	68.4722	61.0119	68.4722	68.4722	8.6667
No log	5.0	5	2.0018	68.4722	61.0119	68.4722	68.4722	8.6667

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cpu
• Datasets 2.14.5
• Tokenizers 0.13.3