Training complete

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mamba_text_classification
+  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
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2717
+- Accuracy: 0.9286
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.1395        | 0.1001 | 794  | 0.7047          | 0.8359   |
+| 1.6796        | 0.2001 | 1588 | 0.4071          | 0.8688   |
+| 0.1366        | 0.3002 | 2382 | 0.3954          | 0.8869   |
+| 3.6069        | 0.4002 | 3176 | 0.3804          | 0.8946   |
+| 0.0243        | 0.5003 | 3970 | 0.3265          | 0.9144   |
+| 0.0027        | 0.6003 | 4764 | 0.2946          | 0.9188   |
+| 0.0019        | 0.7004 | 5558 | 0.2919          | 0.9237   |
+| 0.0           | 0.8004 | 6352 | 0.2816          | 0.9265   |
+| 0.0045        | 0.9005 | 7146 | 0.2717          | 0.9286   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1