Edit model card

distilbert-base-indonesian-fire-classification-silvanus

This model is a fine-tuned version of cahya/distilbert-base-indonesian on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1890

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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 49 0.1673
No log 2.0 98 0.1883
No log 3.0 147 0.1890

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
Downloads last month
5
Safetensors
Model size
68.1M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for rollerhafeezh-amikom/distilbert-base-indonesian-fire-classification-silvanus

Finetuned
(4)
this model