ziq/ingbetic
By ziq · ↓ 2 · ♥ 0 · Updated 2023-06-08
What's in this repo
This page lists the files in ziq/ingbetic, including model-int8.onnx, model.onnx.
- 2 ONNX models (.onnx files)
- 17 files, including 4 .json, 2 .onnx, 2 .bin, 2 .1, 2 .0, 1 .md
- Last updated 2023-06-08
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
ingbetic
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6106
- eval_runtime: 23.2732
- eval_samples_per_second: 84.432
- eval_steps_per_second: 10.57
- epoch: 11.35
- step: 2000
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 2000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.12.1
Model info
Created: 2023-06-07
Updated: 2023-06-08
View on Hugging Face