first_tldr

This model is a fine-tuned version of pszemraj/long-t5-tglobal-base-16384-book-summary on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4427
• Rouge1: 0.3859
• Rouge2: 0.1307
• Rougel: 0.2443

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: 0.0005
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 128
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
No log	0.98	47	1.4361	0.3848	0.1323	0.2419
No log	1.97	94	1.4427	0.3859	0.1307	0.2443

Framework versions

• Transformers 4.28.0
• Pytorch 1.12.1+cu116
• Datasets 2.4.0
• Tokenizers 0.12.1