Training complete

README.md

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+---
+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