ZhiyuanQiu's picture
update model card README.md
b555cba
metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: camembert-base-finetuned-Train_RAW10-dd
    results: []

camembert-base-finetuned-Train_RAW10-dd

This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2175
  • Precision: 0.8744
  • Recall: 0.9056
  • F1: 0.8897
  • Accuracy: 0.9357

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: 16
  • eval_batch_size: 16
  • 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 Precision Recall F1 Accuracy
0.1873 1.0 9930 0.2088 0.8652 0.8927 0.8788 0.9326
0.1533 2.0 19860 0.2175 0.8744 0.9056 0.8897 0.9357

Framework versions

  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1