roberta-base

This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3745
• Icm: -0.0196
• Icmnorm: 0.4901
• Fmeasure: 0.6565

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: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Icm	Icmnorm	Fmeasure
0.6233	1.0	771	0.6371	-0.0341	0.4827	0.6416
0.4026	2.0	1542	0.8523	-0.1320	0.4330	0.5968
0.2684	3.0	2313	1.3745	-0.0196	0.4901	0.6565

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2