t5-base-finetuned-aeslc

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

• Loss: 2.7106
• Rouge1: 32.7432
• Rouge2: 16.6436
• Rougel: 32.2648
• Rougelsum: 32.225
• Gen Len: 5.4143

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.9888	1.0	7218	2.7106	32.7432	16.6436	32.2648	32.225	5.4143

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3