flan-t5-small-insight1

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: 2.3722
• Rouge1: 33.8671
• Rouge2: 9.6497
• Rougel: 29.4996
• Rougelsum: 26.5644
• Gen Len: 49.0

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	3.1389	31.9367	8.6283	28.0168	29.6	19.0
No log	2.0	44	2.7553	31.2307	8.9241	27.4124	28.1386	19.0
No log	3.0	66	2.5353	29.2861	9.5626	26.7167	27.2911	19.0
No log	4.0	88	2.4109	30.7062	10.5552	27.6749	28.2265	19.0
No log	5.0	110	2.3722	30.703	10.6112	27.4196	28.0803	19.0

Framework versions

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