GSOCt5-small-finetuned-t5_V1

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

• Loss: 0.6901
• Rouge1: 33.0453
• Rouge2: 23.5726
• Rougel: 30.4702
• Rougelsum: 31.6567
• Gen Len: 18.9571

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• 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
0.8364	1.0	631	0.6993	32.9852	23.5209	30.3671	31.5511	18.9518
0.8027	2.0	1262	0.6901	33.0453	23.5726	30.4702	31.6567	18.9571
0.7988	3.0	1893	0.6901	33.0453	23.5726	30.4702	31.6567	18.9571

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3