metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_text_classification
results: []
mamba_text_classification
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6274
- Accuracy: 1.0
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: 1e-06
- train_batch_size: 4
- eval_batch_size: 8
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6169 | 0.4 | 52 | 0.8997 | 0.0 |
| 0.698 | 0.81 | 104 | 0.7669 | 0.0 |
| 0.5953 | 1.21 | 156 | 0.6956 | 0.0 |
| 0.5979 | 1.61 | 208 | 0.6580 | 1.0 |
| 0.5949 | 2.02 | 260 | 0.6465 | 1.0 |
| 0.6608 | 2.42 | 312 | 0.6321 | 1.0 |
| 0.5082 | 2.82 | 364 | 0.6339 | 1.0 |
| 0.578 | 3.22 | 416 | 0.6302 | 1.0 |
| 0.6325 | 3.63 | 468 | 0.6274 | 1.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2