|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: 0x-Jayveersinh-Raj/fabric_classifier |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- arrow |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: fabric_classifier |
|
|
results: |
|
|
- task: |
|
|
type: image-classification |
|
|
name: Image Classification |
|
|
dataset: |
|
|
name: arrow |
|
|
type: arrow |
|
|
config: default |
|
|
split: train |
|
|
args: default |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 0.5 |
|
|
name: Accuracy |
|
|
--- |
|
|
|
|
|
<!-- 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. --> |
|
|
|
|
|
# fabric_classifier |
|
|
|
|
|
This model is a fine-tuned version of [0x-Jayveersinh-Raj/fabric_classifier](https://huggingface.co/0x-Jayveersinh-Raj/fabric_classifier) on the arrow dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 2.0567 |
|
|
- Accuracy: 0.65 |
|
|
- F1 Macro: 0.2581 |
|
|
- F1 Micro: 0.5 |
|
|
|
|
|
## 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: 3e-05 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 16 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 5 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.57.0 |
|
|
- Pytorch 2.8.0+cu126 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.22.1 |
|
|
|
