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
