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README.md
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model-index:
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- name: mamba-text-classification-v3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/date3k2/text-classification-imdb/runs/x4pjguay)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/date3k2/text-classification-imdb/runs/x4pjguay)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/date3k2/text-classification-imdb/runs/x4pjguay)
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# mamba-text-classification-v3
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This model is a fine-tuned version of [state-spaces/mamba-130m-hf](https://huggingface.co/state-spaces/mamba-130m-hf) on
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It achieves the following results on the evaluation set:
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- Loss: 0.3637
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- Accuracy: 0.9454
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- Recall: 0.9461
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- Precision: 0.9447
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.41.0
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model-index:
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- name: mamba-text-classification-v3
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results: []
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datasets:
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- stanfordnlp/imdb
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/date3k2/text-classification-imdb/runs/x4pjguay)
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# mamba-text-classification
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This model is a fine-tuned version of [state-spaces/mamba-130m-hf](https://huggingface.co/state-spaces/mamba-130m-hf) on [imdb](https://huggingface.co/datasets/stanfordnlp/imdb) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3637
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- Accuracy: 0.9454
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- Recall: 0.9461
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- Precision: 0.9447
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.41.0
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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