ONNX Model Zoo

ohnoadrummer/finetuning-bert-brand-sentiment

By ohnoadrummer · ↓ 4 · ♥ 0 · Updated 2025-07-17

What's in this repo

This page lists the files in ohnoadrummer/finetuning-bert-brand-sentiment, including model.onnx, model_bnb4.onnx, model_fp16.onnx and more.

  • 8 ONNX models (.onnx files)
  • 18 files, including 8 .onnx, 4 .json, 1 .md, 1 .safetensors, 1 .py, 1 .bin
  • Last updated 2025-07-17

ONNX files

File Size Download
onnx/model.onnx — Download
onnx/model_bnb4.onnx — Download
onnx/model_fp16.onnx — Download
onnx/model_int8.onnx — Download
onnx/model_q4.onnx — Download
onnx/model_q4f16.onnx — Download
onnx/model_quantized.onnx — Download
onnx/model_uint8.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


library_name: transformers license: mit base_model: nlptown/bert-base-multilingual-uncased-sentiment tags:

  • generated_from_trainer metrics:
  • accuracy
  • f1 model-index:
  • name: finetuning-bert-brand-sentiment results: []

finetuning-bert-brand-sentiment

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6467
  • Model Preparation Time: 0.0035
  • Accuracy: 0.7733
  • F1: 0.7659

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: 16
  • eval_batch_size: 16
  • seed: 42
  • 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
  • num_epochs: 2

Training results

Framework versions

  • Transformers 4.53.2
  • Pytorch 2.7.1+cu118
  • Datasets 4.0.0
  • Tokenizers 0.21.2

Model info

text-classification transformers
transformers onnx safetensors bert text-classification generated_from_trainer base_model:nlptown/bert-base-multilingual-uncased-sentiment base_model:quantized:nlptown/bert-base-multilingual-uncased-sentiment license:mit text-embeddings-inference endpoints_compatible region:us
↓ 4 ♥ 0

Created: 2025-07-15

Updated: 2025-07-17

View on Hugging Face

Files (18)

.gitattributes
README.md
config.json
model.safetensors
onnx/model.onnx ONNX
onnx/model_bnb4.onnx ONNX
onnx/model_fp16.onnx ONNX
onnx/model_int8.onnx ONNX
onnx/model_q4.onnx ONNX
onnx/model_q4f16.onnx ONNX
onnx/model_quantized.onnx ONNX
onnx/model_uint8.onnx ONNX
special_tokens_map.json
test.py
tokenizer.json
tokenizer_config.json
training_args.bin
vocab.txt

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