micro_base_help_class_no_pre_seed_0

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

• Loss: 0.9454
• Accuracy: 0.8456
• F1 Macro: 0.6500

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: 16
• eval_batch_size: 16
• seed: 0
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
0.3239	1.0	313	0.3666	0.8572	0.5370
0.3208	2.0	626	0.3962	0.8536	0.4632
0.2688	3.0	939	0.3881	0.8622	0.5912
0.2105	4.0	1252	0.5269	0.8616	0.5922
0.1625	5.0	1565	0.6255	0.859	0.6338
0.1188	6.0	1878	0.8231	0.8572	0.6169
0.052	7.0	2191	0.8230	0.8616	0.6189
0.053	8.0	2504	0.9466	0.8422	0.6496
0.0365	9.0	2817	0.9747	0.8556	0.6365
0.0452	10.0	3130	0.9923	0.8578	0.6360

Framework versions

• Transformers 4.36.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2