README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - lst20
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: premodel
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: lst20
          type: lst20
          config: default
          split: train
          args: default
        metrics:
          - name: Precision
            type: precision
            value: 0.8533733110439704
          - name: Recall
            type: recall
            value: 0.8653846153846154
          - name: F1
            type: f1
            value: 0.8593369935367294
          - name: Accuracy
            type: accuracy
            value: 0.9477067610537897

premodel

This model is a fine-tuned version of Geotrend/bert-base-th-cased on the lst20 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1761
• Precision: 0.8534
• Recall: 0.8654
• F1: 0.8593
• Accuracy: 0.9477

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

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.0
• Tokenizers 0.13.2