metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_text_classification
results: []
mamba_text_classification
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2144
- Accuracy: 0.944
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0088 | 0.1 | 625 | 0.2663 | 0.9216 |
| 3.5723 | 0.2 | 1250 | 0.3047 | 0.8962 |
| 1.4067 | 0.3 | 1875 | 0.2881 | 0.919 |
| 0.278 | 0.4 | 2500 | 0.2252 | 0.9322 |
| 0.0034 | 0.5 | 3125 | 0.2200 | 0.9382 |
| 2.526 | 0.6 | 3750 | 0.2670 | 0.9354 |
| 0.5528 | 0.7 | 4375 | 0.2209 | 0.9386 |
| 0.0006 | 0.8 | 5000 | 0.2294 | 0.9432 |
| 0.0358 | 0.9 | 5625 | 0.2167 | 0.9438 |
| 0.5311 | 1.0 | 6250 | 0.2144 | 0.944 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1