t5-base-finetuned-p7_V2

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

• Loss: 0.5882
• Rouge1: 53.6225
• Rouge2: 43.8285
• Rougel: 51.4683
• Rougelsum: 51.8848
• Gen Len: 18.2368

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.7305	1.0	910	0.6238	52.767	42.9846	50.5281	50.9489	18.3125
0.4819	2.0	1820	0.5835	53.6526	44.0044	51.6286	51.9821	18.2533
0.4193	3.0	2730	0.5882	53.6225	43.8285	51.4683	51.8848	18.2368

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3