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