|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: mamba_text_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_text_classification |
|
|
|
This model was trained from scratch on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2090 |
|
- Accuracy: 0.938 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.0132 | 0.1 | 625 | 0.3019 | 0.906 | |
|
| 2.4334 | 0.2 | 1250 | 0.2726 | 0.9248 | |
|
| 0.454 | 0.3 | 1875 | 0.2468 | 0.9276 | |
|
| 0.0011 | 0.4 | 2500 | 0.2355 | 0.928 | |
|
| 0.0057 | 0.5 | 3125 | 0.2610 | 0.9228 | |
|
| 1.9675 | 0.6 | 3750 | 0.2447 | 0.9292 | |
|
| 1.603 | 0.7 | 4375 | 0.2262 | 0.9348 | |
|
| 0.0067 | 0.8 | 5000 | 0.2192 | 0.9368 | |
|
| 0.2218 | 0.9 | 5625 | 0.2105 | 0.9392 | |
|
| 0.0236 | 1.0 | 6250 | 0.2090 | 0.938 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
