README.md

metadata

license: cc-by-4.0
base_model: Goader/liberta-large
tags:
  - generated_from_trainer
datasets:
  - universal_dependencies
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: Goader_liberta-large-upos
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: universal_dependencies
          type: universal_dependencies
          config: uk_iu
          split: validation
          args: uk_iu
        metrics:
          - name: Precision
            type: precision
            value: 0.7917968510685142
          - name: Recall
            type: recall
            value: 0.7643218821508218
          - name: F1
            type: f1
            value: 0.7714894659273394
          - name: Accuracy
            type: accuracy
            value: 0.8942255801403131

Goader_liberta-large-upos

This model is a fine-tuned version of Goader/liberta-large on the universal_dependencies dataset. It achieves the following results on the evaluation set:

• Loss: 0.2970
• Precision: 0.7918
• Recall: 0.7643
• F1: 0.7715
• Accuracy: 0.8942

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 1.11.0a0+17540c5
• Datasets 2.21.0
• Tokenizers 0.15.2