mamba_text_classification

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

• Loss: nan
• Accuracy: 0.4932

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: 2
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0614	0.1	1250	0.2891	0.92
0.2031	0.2	2500	nan	0.9094
0.0156	0.3	3750	nan	0.8646
0.0957	0.4	5000	nan	0.8802
0.1671	0.5	6250	nan	0.8802
0.3147	0.6	7500	nan	0.8802
0.0	0.7	8750	nan	0.4932
0.0	0.8	10000	nan	0.4932
0.0	0.9	11250	nan	0.4932
0.0	1.0	12500	nan	0.4932

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3