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metadata
license: apache-2.0
base_model: Twitter/twhin-bert-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: financial-twhin-bert-large-3labels-pesudo
    results: []

financial-twhin-bert-large-3labels-pesudo

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

  • Loss: 0.5193
  • Accuracy: 0.8646
  • F1: 0.8689

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: 2.6487905492726217e-06
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.2072 1.0 2908 0.5193 0.8646 0.8689
0.1429 2.0 5816 0.5204 0.8890 0.8903
0.1062 3.0 8724 0.5502 0.8862 0.8881

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2