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
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
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split
split: validation
args: split
metrics:
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
Created: 2024-08-02
Updated: 2024-08-02
View on Hugging FaceFiles (10)
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