distilroberta-base-etc

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

• Loss: 0.3382
• Accuracy: 0.919
• F1: 0.9190

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: 4.969790133269121e-05
• train_batch_size: 400
• eval_batch_size: 400
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	84	0.2372	0.907	0.9070
No log	2.0	168	0.2358	0.9083	0.9083
No log	3.0	252	0.2430	0.9137	0.9137
No log	4.0	336	0.2449	0.919	0.9190
No log	5.0	420	0.2884	0.9193	0.9193
No log	6.0	504	0.3179	0.9167	0.9167
No log	7.0	588	0.3382	0.919	0.9190

Framework versions

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