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dat-vootree/finetuning-emotion-model

By dat-vootree · ↓ 7 · ♥ 0 · Updated 2024-08-02

What's in this repo

This page lists the files in dat-vootree/finetuning-emotion-model, including model.onnx, model_quantized.onnx.

  • 2 ONNX models (.onnx files)
  • 10 files, including 4 .json, 2 .onnx, 1 .md, 1 .safetensors, 1 .txt
  • Last updated 2024-08-02

ONNX files

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


license: apache-2.0 base_model: distilbert-base-uncased tags:

  • generated_from_trainer datasets:
  • emotion metrics:
  • accuracy
  • f1 model-index:
  • name: finetuning-emotion-model results:
    • task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: split split: validation args: split metrics:
      • name: Accuracy type: accuracy value: 0.928
      • name: F1 type: f1 value: 0.92794827672395

finetuning-emotion-model

This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2169
  • Accuracy: 0.928
  • F1: 0.9279

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 250 0.3225 0.902 0.9012
0.5453 2.0 500 0.2169 0.928 0.9279

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Model info

onnx safetensors distilbert generated_from_trainer dataset:emotion base_model:distilbert/distilbert-base-uncased base_model:quantized:distilbert/distilbert-base-uncased license:apache-2.0 model-index region:us
↓ 7 ♥ 0

Created: 2024-08-02

Updated: 2024-08-02

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Files (10)

.gitattributes
README.md
config.json
model.safetensors
onnx/model.onnx ONNX
onnx/model_quantized.onnx ONNX
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.txt

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