IceBERT-finetuned-iec-sentence

This model is a fine-tuned version of vesteinn/IceBERT on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4438
• Matthews Correlation: 0.6062

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
No log	1.0	455	0.5283	0.4755
0.5696	2.0	910	0.4889	0.5272
0.4898	3.0	1365	0.4508	0.5793
0.4508	4.0	1820	0.4340	0.6042
0.4153	5.0	2275	0.4438	0.6062

Framework versions

• Transformers 4.12.3
• Pytorch 1.8.0
• Datasets 1.15.1
• Tokenizers 0.10.3