tmsreekanth98/keyphrase-extractions_roberta

ED_keyphrase/

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

• Loss: 4.4436
• Rouge1: 0.0784
• Rouge2: 0.0159
• Rougel: 0.0732
• Rougelsum: 0.0732
• Gen Len: 70.8515

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
6.1614	1.0	664	5.2825	0.0866	0.0047	0.0767	0.0767	53.6569
5.2585	2.0	1328	4.7707	0.0551	0.0087	0.0517	0.0518	83.1487
4.8764	3.0	1992	4.5703	0.0634	0.0117	0.0594	0.0595	81.5616
4.5709	4.0	2656	4.4749	0.0743	0.0145	0.0695	0.0695	72.9576
4.4978	5.0	3320	4.4436	0.0784	0.0159	0.0732	0.0732	70.8515

Framework versions

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