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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3710
+- Accuracy: 0.8993
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0072        | 0.1   | 1487  | 0.4826          | 0.8833   |
+| 0.9742        | 0.2   | 2974  | 0.4212          | 0.8689   |
+| 1.9626        | 0.3   | 4461  | 0.4013          | 0.8949   |
+| 0.0048        | 0.4   | 5948  | 0.4107          | 0.8954   |
+| 0.9199        | 0.5   | 7435  | 0.3877          | 0.8938   |
+| 1.3472        | 0.6   | 8922  | 0.4172          | 0.8949   |
+| 0.1115        | 0.7   | 10409 | 0.3733          | 0.8971   |
+| 0.1208        | 0.8   | 11896 | 0.3935          | 0.8998   |
+| 0.0072        | 0.9   | 13383 | 0.3710          | 0.8993   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2