Hugging Face's logo

michamcs
/
bert-japanese-food-classification

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
bert-japanese-food-classification / README.md
michamcs's picture
michamcs
End of training
cc2c58c
preview code
|
raw
history blame contribute delete
1.51 kB
metadata
license: apache-2.0
base_model: cl-tohoku/bert-base-japanese-v3
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: test_trainer
    results: []

test_trainer

This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v3 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3337
  • Accuracy: 0.9261

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 399 0.2528 0.9135
0.3478 2.0 798 0.2996 0.9261
0.2034 3.0 1197 0.3337 0.9261

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1