long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13

Evaluating some metric results before merging with the "main" wip version

This model is a fine-tuned version of pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP12 on the kmfoda/booksum.

The "base" checkpoint that I update when a training session is productive is here

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: 0.0006
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 64
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 1.1

Framework versions

• Transformers 4.21.2
• Pytorch 1.10.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1