mamba_text_classification_v1

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

• eval_loss: 1.2437
• eval_accuracy: 0.7764
• eval_runtime: 8.7338
• eval_samples_per_second: 121.368
• eval_steps_per_second: 7.671
• epoch: 7.0
• step: 37121

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: 10

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2