ONNX Model Zoo

blacklotusid/id-hs-indobert

By blacklotusid · ↓ 9 · ♥ 0 · Updated 2025-03-22

What's in this repo

This page lists the files in blacklotusid/id-hs-indobert, including model.onnx and more.

  • 2 ONNX models (.onnx files)
  • 20 files, including 7 .json, 3 .pt, 2 .safetensors, 2 .bin, 2 .onnx, 1 .md
  • Last updated 2025-03-22

ONNX files

File Size Download
model.onnx — Download
onnx/model.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

indonesian-hate-speech-bert

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on https://github.com/okkyibrohim/id-multi-label-hate-speech-and-abusive-language-detection dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3245
  • Accuracy: 0.8808
  • F1: 0.8808
  • Precision: 0.8808
  • Recall: 0.8808
  • Precision Non Hate: 0.8954
  • Precision Hate: 0.8609
  • Recall Non Hate: 0.8978
  • Recall Hate: 0.8578

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: 32
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall Precision Non Hate Precision Hate Recall Non Hate Recall Hate
0.3074 1.3618 200 0.2969 0.8817 0.8818 0.8820 0.8817 0.9020 0.8549 0.8915 0.8685
0.1442 2.7235 400 0.3146 0.8933 0.8933 0.8933 0.8933 0.9080 0.8733 0.9065 0.8753
0.0699 4.0819 600 0.4224 0.8875 0.8874 0.8874 0.8875 0.9003 0.8699 0.9048 0.8639

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu124
  • Tokenizers 0.21.1

Model info

text-classification transformers
transformers onnx safetensors bert text-classification generated_from_trainer base_model:indobenchmark/indobert-base-p1 base_model:quantized:indobenchmark/indobert-base-p1 license:mit text-embeddings-inference endpoints_compatible region:us
↓ 9 ♥ 0

Created: 2025-03-21

Updated: 2025-03-22

View on Hugging Face

Files (20)

.gitattributes
README.md
config.json
last-checkpoint/config.json
last-checkpoint/model.safetensors
last-checkpoint/optimizer.pt
last-checkpoint/rng_state.pth
last-checkpoint/scaler.pt
last-checkpoint/scheduler.pt
last-checkpoint/trainer_state.json
last-checkpoint/training_args.bin
model.onnx ONNX
model.safetensors
onnx/config.json
onnx/model.onnx ONNX
special_tokens_map.json
tokenizer.json
tokenizer_config.json
training_args.bin
vocab.txt

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