micro_base_help_class_no_pre_seed_1

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

• Loss: 0.8288
• Accuracy: 0.8506
• F1 Macro: 0.6496

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: 1
• 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
0.3574	1.0	313	0.3915	0.8544	0.5436
0.3281	2.0	626	0.3468	0.8542	0.6399
0.2822	3.0	939	0.4199	0.8618	0.5364
0.2347	4.0	1252	0.4397	0.8552	0.6567
0.1707	5.0	1565	0.5268	0.8584	0.6031
0.0992	6.0	1878	0.8439	0.85	0.6609
0.0891	7.0	2191	0.8919	0.8506	0.6486
0.0506	8.0	2504	0.9836	0.857	0.6425
0.0387	9.0	2817	1.0062	0.8536	0.6354

Framework versions

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