mamba-vs-gpt2
Collection
This repository contains the code for comparing the performance of Mamba vs GPT2 on text classification task
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4 items
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Updated
mamba-v2
This model is a fine-tuned version of state-spaces/mamba-130m-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1786
- Accuracy: 0.9307
- F1: 0.9313
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.188 | 0.9994 | 781 | 0.1786 | 0.9307 | 0.9313 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for date3k2/mamba-v2
Base model
state-spaces/mamba-130m-hf