| --- |
| tags: |
| - generated_from_trainer |
| base_model: state-spaces/mamba-130m-hf |
| metrics: |
| - accuracy |
| - f1 |
| - recall |
| - precision |
| model-index: |
| - name: mamba-text-classification-v3 |
| results: [] |
| datasets: |
| - stanfordnlp/imdb |
| --- |
| |
| <!-- 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. --> |
|
|
| [<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) |
| # mamba-text-classification |
|
|
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3637 |
| - Accuracy: 0.9454 |
| - F1: 0.9454 |
| - Recall: 0.9461 |
| - Precision: 0.9447 |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | |
| |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:| |
| | 0.1731 | 0.9997 | 781 | 0.1553 | 0.9425 | 0.9427 | 0.9462 | 0.9393 | |
| | 0.1316 | 1.9994 | 1562 | 0.1970 | 0.9319 | 0.9294 | 0.8974 | 0.9639 | |
| | 0.0224 | 2.9990 | 2343 | 0.3137 | 0.9454 | 0.9455 | 0.9479 | 0.9432 | |
| | 0.0002 | 4.0 | 3125 | 0.3501 | 0.9449 | 0.9450 | 0.9470 | 0.9431 | |
| | 0.0004 | 4.9984 | 3905 | 0.3637 | 0.9454 | 0.9454 | 0.9461 | 0.9447 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.0 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
