flan-t5-small-asap_t4_f2_prompt_adherence

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: 0.0621
• Rouge1: 82.6646
• Rouge2: 78.018
• Rougel: 82.6132
• Rougelsum: 82.6206
• Gen Len: 12.1479

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	266	0.0875	79.5052	73.4411	79.5255	79.4473	12.2169
0.396	2.0	532	0.0694	80.9177	75.9474	80.9177	80.8659	12.1817
0.396	3.0	798	0.0619	82.55	77.8505	82.5292	82.4624	12.1437
0.0734	4.0	1064	0.0611	82.5957	77.9529	82.5931	82.5353	12.1380
0.0734	5.0	1330	0.0621	82.6646	78.018	82.6132	82.6206	12.1479

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2