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FR-Fined-Tuned-Bios

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Fine-tuned BART model for League of Legends biographies classification
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metadata
license: mit
base_model: facebook/bart-large-mnli
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: FR-Fined-Tuned-Bios
    results: []

FR-Fined-Tuned-Bios

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

  • Loss: 1.7556
  • F1: 0.0698

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: 3
  • eval_batch_size: 3
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 12

Training results

Training Loss Epoch Step Validation Loss F1
No log 1.0 45 1.7640 0.0698
No log 2.0 90 1.7568 0.0698
No log 3.0 135 1.7607 0.0698
No log 4.0 180 1.7456 0.0698
No log 5.0 225 1.7395 0.0698
No log 6.0 270 1.7523 0.0698
No log 7.0 315 1.7414 0.0698
No log 8.0 360 1.7497 0.0698
No log 9.0 405 1.7429 0.0698
No log 10.0 450 1.7449 0.0698
No log 11.0 495 1.7520 0.0698
1.7964 12.0 540 1.7556 0.0698

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2