metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_text_classification
results: []
mamba_text_classification
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2351
- Accuracy: 0.9406
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0061 | 0.1 | 625 | 0.2807 | 0.9074 |
| 1.7561 | 0.2 | 1250 | 0.2201 | 0.9252 |
| 0.0296 | 0.3 | 1875 | 0.3153 | 0.9184 |
| 0.0057 | 0.4 | 2500 | 0.2213 | 0.9342 |
| 0.0002 | 0.5 | 3125 | 0.2311 | 0.935 |
| 2.8004 | 0.6 | 3750 | 0.2264 | 0.9378 |
| 0.0143 | 0.7 | 4375 | 0.2599 | 0.9348 |
| 0.0021 | 0.8 | 5000 | 0.2267 | 0.939 |
| 0.2814 | 0.9 | 5625 | 0.2343 | 0.942 |
| 0.069 | 1.0 | 6250 | 0.2351 | 0.9406 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.1+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2