tmsreekanth98/keyphrase-extractions_roberta_large

ED_keyphrase_roberta/

This model is a fine-tuned version of on the kp20k dataset. It achieves the following results on the evaluation set:

• Loss: 4.6070
• Rouge1: 0.1132
• Rouge2: 0.0161
• Rougel: 0.108
• Rougelsum: 0.1081
• Gen Len: 10.9056

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
6.2014	1.0	664	5.4438	0.0532	0.0021	0.0525	0.0524	9.0955
5.3993	2.0	1328	4.8016	0.0958	0.0105	0.0921	0.0921	11.524
4.9398	3.0	1992	4.6499	0.1095	0.0153	0.1049	0.1048	11.2748
4.6497	4.0	2656	4.6070	0.1132	0.0161	0.108	0.1081	10.9056

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2