mamba_text_classification

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2717
• Accuracy: 0.9286

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1395	0.1001	794	0.7047	0.8359
1.6796	0.2001	1588	0.4071	0.8688
0.1366	0.3002	2382	0.3954	0.8869
3.6069	0.4002	3176	0.3804	0.8946
0.0243	0.5003	3970	0.3265	0.9144
0.0027	0.6003	4764	0.2946	0.9188
0.0019	0.7004	5558	0.2919	0.9237
0.0	0.8004	6352	0.2816	0.9265
0.0045	0.9005	7146	0.2717	0.9286

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1