flan-t5-small-sample

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: 1.2767
• Rouge1: 44.1999
• Rouge2: 34.9821
• Rougel: 42.5428
• Rougelsum: 42.0168
• Gen Len: 19.0

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	2.1908	38.4462	16.3179	32.7098	36.1665	19.0
No log	2.0	44	1.6382	44.0894	34.8011	42.6727	42.3831	19.0
No log	3.0	66	1.4048	44.1218	34.8312	42.6947	42.4035	19.0
No log	4.0	88	1.2996	44.1999	34.9821	42.5428	42.0168	19.0
No log	5.0	110	1.2767	44.1999	34.9821	42.5428	42.0168	19.0

Framework versions

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