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--- |
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tags: |
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- generated_from_trainer |
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base_model: state-spaces/mamba-130m-hf |
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metrics: |
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- accuracy |
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- f1 |
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- recall |
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- precision |
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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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- F1: 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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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:| |
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| 0.1731 | 0.9997 | 781 | 0.1553 | 0.9425 | 0.9427 | 0.9462 | 0.9393 | |
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| 0.1316 | 1.9994 | 1562 | 0.1970 | 0.9319 | 0.9294 | 0.8974 | 0.9639 | |
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| 0.0224 | 2.9990 | 2343 | 0.3137 | 0.9454 | 0.9455 | 0.9479 | 0.9432 | |
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| 0.0002 | 4.0 | 3125 | 0.3501 | 0.9449 | 0.9450 | 0.9470 | 0.9431 | |
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| 0.0004 | 4.9984 | 3905 | 0.3637 | 0.9454 | 0.9454 | 0.9461 | 0.9447 | |
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### Framework versions |
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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 |
