metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_text_classification_aes
results: []
mamba_text_classification_aes
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7582
- Accuracy: 0.6736
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 |
|---|---|---|---|---|
| 0.7518 | 0.1002 | 390 | 1.1485 | 0.4980 |
| 1.5243 | 0.2003 | 780 | 0.9547 | 0.5661 |
| 0.6327 | 0.3005 | 1170 | 0.9939 | 0.5708 |
| 0.715 | 0.4006 | 1560 | 0.9848 | 0.5690 |
| 0.8733 | 0.5008 | 1950 | 0.7997 | 0.6459 |
| 0.3249 | 0.6009 | 2340 | 0.7903 | 0.6672 |
| 1.44 | 0.7011 | 2730 | 0.7696 | 0.6823 |
| 0.4643 | 0.8012 | 3120 | 0.7792 | 0.6609 |
| 0.4997 | 0.9014 | 3510 | 0.7582 | 0.6736 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1