---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_370m_imdb_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_370m_imdb_classification

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5286
- Accuracy: 0.712

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1109        | 0.1   | 625  | 0.4201          | 0.852    |
| 0.9532        | 0.2   | 1250 | 0.3804          | 0.868    |
| 0.9931        | 0.3   | 1875 | 0.3834          | 0.868    |
| 0.3804        | 0.4   | 2500 | 0.3582          | 0.856    |
| 0.0376        | 0.5   | 3125 | 1.3456          | 0.64     |
| 0.8743        | 0.6   | 3750 | 0.3655          | 0.86     |
| 0.3276        | 0.7   | 4375 | 0.4749          | 0.764    |
| 0.3498        | 0.8   | 5000 | 0.5178          | 0.796    |
| 0.4449        | 0.9   | 5625 | 0.5278          | 0.728    |
| 0.6826        | 1.0   | 6250 | 0.5286          | 0.712    |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1