distilroberta-base-mic

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

• Loss: 0.3435
• Accuracy: 0.9104
• F1: 0.9103

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: 8.748413056668156e-05
• train_batch_size: 200
• eval_batch_size: 200
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	120	0.2830	0.8804	0.8797
No log	2.0	240	0.2398	0.9046	0.9046
No log	3.0	360	0.3474	0.8959	0.8954
No log	4.0	480	0.3435	0.9104	0.9103

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu113
• Datasets 2.1.0
• Tokenizers 0.12.1