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mamba-text-classification

This model is a fine-tuned version of state-spaces/mamba-130m-hf on imdb dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3637
  • Accuracy: 0.9454
  • F1: 0.9454
  • Recall: 0.9461
  • Precision: 0.9447

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Recall Precision
0.1731 0.9997 781 0.1553 0.9425 0.9427 0.9462 0.9393
0.1316 1.9994 1562 0.1970 0.9319 0.9294 0.8974 0.9639
0.0224 2.9990 2343 0.3137 0.9454 0.9455 0.9479 0.9432
0.0002 4.0 3125 0.3501 0.9449 0.9450 0.9470 0.9431
0.0004 4.9984 3905 0.3637 0.9454 0.9454 0.9461 0.9447

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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