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: 0.2112
+- Accuracy: 0.9454
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0067        | 0.1   | 625  | 0.3108          | 0.9158   |
+| 1.8154        | 0.2   | 1250 | 0.2347          | 0.931    |
+| 0.0341        | 0.3   | 1875 | 0.2995          | 0.9246   |
+| 0.0052        | 0.4   | 2500 | 0.2312          | 0.9364   |
+| 0.0001        | 0.5   | 3125 | 0.2634          | 0.932    |
+| 0.0016        | 0.6   | 3750 | 0.2250          | 0.942    |
+| 1.8912        | 0.7   | 4375 | 0.2112          | 0.9452   |
+| 0.0025        | 0.8   | 5000 | 0.2191          | 0.946    |
+| 0.0149        | 0.9   | 5625 | 0.2125          | 0.945    |
+| 0.0035        | 1.0   | 6250 | 0.2112          | 0.9454   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2