t5-base-prompter-aqua_300-repeated-ep2-all

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

• Loss: 0.3548
• Rouge1: 41.1468
• Rouge2: 31.6032
• Rougel: 40.3499
• Rougelsum: 40.3091
• Gen Len: 13.9528

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 64
• seed: 1799
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.3368	1.61	200	0.3724	41.214	31.5869	40.3713	40.3303	13.9331

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1