mamba_text_classification_aes

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7582
• Accuracy: 0.6736

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
0.7518	0.1002	390	1.1485	0.4980
1.5243	0.2003	780	0.9547	0.5661
0.6327	0.3005	1170	0.9939	0.5708
0.715	0.4006	1560	0.9848	0.5690
0.8733	0.5008	1950	0.7997	0.6459
0.3249	0.6009	2340	0.7903	0.6672
1.44	0.7011	2730	0.7696	0.6823
0.4643	0.8012	3120	0.7792	0.6609
0.4997	0.9014	3510	0.7582	0.6736

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1