TextRank_Longformer

This model is a fine-tuned version of hyesunyun/update-summarization-bart-large-longformer on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.7145
• eval_rouge1: 17.8877
• eval_rouge2: 4.4572
• eval_rougeL: 12.5184
• eval_rougeLsum: 13.8276
• eval_gen_len: 108.16
• eval_runtime: 224.8675
• eval_samples_per_second: 0.111
• eval_steps_per_second: 0.111
• epoch: 0.18
• step: 11

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: 5e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Framework versions

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