flan-t5-large-peft-combinedhub

This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.7588
• Rouge1: 43.5001
• Rouge2: 17.8611
• Rougel: 31.5148
• Rougelsum: 40.2359
• Gen Len: 98.7718

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: 6
• eval_batch_size: 6
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.9097	1.0	2812	1.7698	43.3373	17.6766	31.4769	40.0561	97.4492
1.8901	2.0	5624	1.7603	43.4367	17.8114	31.5721	40.1962	100.2230
1.8854	3.0	8436	1.7588	43.5001	17.8611	31.5148	40.2359	98.7718

Framework versions

• PEFT 0.10.0
• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2