T5_base_title_v4

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

• Loss: 1.2991
• Rouge1: 0.4572
• Rouge2: 0.2619
• Rougel: 0.4024
• Rougelsum: 0.4025
• Gen Len: 16.7242

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: 8
• eval_batch_size: 8
• 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
1.5071	1.0	4038	1.2991	0.4572	0.2619	0.4024	0.4025	16.7242

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.1