| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: mamba_text_classification_aes |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # 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 |
| |
|
