flan-t5-small-insight0

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: 1.1513
• Rouge1: 66.8836
• Rouge2: 52.2741
• Rougel: 63.2641
• Rougelsum: 64.6245
• Gen Len: 39.0

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	22	2.2280	44.9911	21.6141	38.2296	41.6228	19.0
No log	2.0	44	1.5397	55.3502	44.0702	52.6667	52.208	19.0
No log	3.0	66	1.2873	55.3502	44.0702	52.6667	52.208	19.0
No log	4.0	88	1.1765	55.1136	44.0702	52.4682	52.0206	19.0
No log	5.0	110	1.1513	55.1136	44.0702	52.4682	52.0206	19.0

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0