flan-t5-small-dialogsum-test-total

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: 0.3144
• Rouge1: 90.9193
• Rouge2: 90.0242
• Rougel: 90.9131
• Rougelsum: 90.9143
• 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	250	0.3265	90.9193	90.0242	90.9131	90.9143	19.0
0.4884	2.0	500	0.3162	90.9193	90.0242	90.9131	90.9143	19.0
0.4884	3.0	750	0.3165	90.9193	90.0242	90.9131	90.9143	19.0
0.2916	4.0	1000	0.3144	90.9193	90.0242	90.9131	90.9143	19.0
0.2916	5.0	1250	0.3166	90.9193	90.0242	90.9131	90.9143	19.0

Framework versions

• Transformers 4.39.0
• Pytorch 2.2.1+cu121
• Datasets 2.14.7
• Tokenizers 0.15.2