Hugging Face's logo

ryota39
/
luke-japanese-base-lite-reward

Text Classification
Transformers
Safetensors
luke
Generated from Trainer
Inference Endpoints
Model card Files Community
luke-japanese-base-lite-reward / README.md
ryota39's picture
ryota39
End of training
7d4bc41 verified
preview code
|
raw
history blame
1.95 kB
metadata
license: apache-2.0
base_model: studio-ousia/luke-japanese-base-lite
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: out
    results: []

Visualize in Weights & Biases

out

This model is a fine-tuned version of studio-ousia/luke-japanese-base-lite on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2009
  • Accuracy: 0.9283
  • Precision: 0.9198
  • Recall: 0.9384
  • F1: 0.9290

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
0.316 1.0 1479 0.2245 0.9127 0.9027 0.9251 0.9138
0.1696 2.0 2958 0.1869 0.9308 0.9234 0.9395 0.9314
0.1427 3.0 4437 0.2009 0.9283 0.9198 0.9384 0.9290

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.0+cu118
  • Datasets 2.20.0
  • Tokenizers 0.19.1