---
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