t5-small-finetuned-rahul-summariza1

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

• Loss: 0.8150
• Rouge1: 27.4177
• Rouge2: 21.7327
• Rougel: 25.5996
• Rougelsum: 26.7326
• 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: 5.6e-05
• train_batch_size: 8
• eval_batch_size: 2
• seed: 42
• 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
1.1387	1.0	16	0.8518	28.3651	21.9282	26.1118	27.2351	19.0
0.9637	2.0	32	0.8150	27.4177	21.7327	25.5996	26.7326	19.0

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2