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bert-base-finetuned-ynat

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bert
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metadata
license: cc-by-sa-4.0
base_model: klue/bert-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: bert-base-finetuned-ynat
    results: []

bert-base-finetuned-ynat

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

  • Loss: 1.6806
  • F1: 0.2273

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: 256
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss F1
No log 1.0 2 1.8609 0.0476
No log 2.0 4 1.7637 0.0476
No log 3.0 6 1.6806 0.2273
No log 4.0 8 1.6409 0.2273
No log 5.0 10 1.6236 0.2273

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.0
  • Tokenizers 0.13.3