flan-t5-small-dialogsum-test-500

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3231
• Rouge1: 90.9341
• Rouge2: 90.0315
• Rougel: 90.942
• Rougelsum: 90.9321
• 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	63	0.3608	90.9341	90.0315	90.942	90.9321	19.0
No log	2.0	126	0.3278	90.9341	90.0315	90.942	90.9321	19.0
No log	3.0	189	0.3246	90.9341	90.0315	90.942	90.9321	19.0
No log	4.0	252	0.3231	90.9341	90.0315	90.942	90.9321	19.0
No log	5.0	315	0.3241	90.9341	90.0315	90.942	90.9321	19.0

Framework versions

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