flan-t5-small-quaso-gen5

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.5372
• Rouge1: 0.3997
• Rouge2: 0.1592
• Rougel: 0.3248
• Rougelsum: 0.3810
• Gen Len: 42.046

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: 4
• eval_batch_size: 4
• 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
1.7045	1.0	34324	1.5575	0.3936	0.1547	0.3183	0.3749	42.0369
1.6563	2.0	68648	1.5509	0.3975	0.1561	0.3225	0.3789	42.1242
1.6622	3.0	102972	1.5440	0.3947	0.1575	0.3210	0.3763	41.7531
1.638	4.0	137296	1.5393	0.3969	0.1575	0.3224	0.3785	41.8038
1.6222	5.0	171620	1.5372	0.3997	0.1592	0.3248	0.3810	42.046

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1