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metadata
base_model: Musixmatch/umberto-commoncrawl-cased-v1
tags:
  - generated_from_trainer
metrics:
  - f1
  - accuracy
model-index:
  - name: relation_detection_textual
    results: []

relation_detection_textual

This model is a fine-tuned version of Musixmatch/umberto-commoncrawl-cased-v1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5247
  • F1: 0.6071
  • Roc Auc: 0.6769
  • Accuracy: 0.5659

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss F1 Roc Auc Accuracy
No log 1.0 33 0.5783 0.2301 0.5 0.5271
No log 2.0 66 0.5327 0.4997 0.6312 0.5814
No log 3.0 99 0.5276 0.5688 0.6597 0.5969
No log 4.0 132 0.5228 0.4610 0.6262 0.6434
No log 5.0 165 0.5153 0.5762 0.6594 0.6124
No log 6.0 198 0.5153 0.5762 0.6594 0.6124
No log 7.0 231 0.5190 0.6032 0.6729 0.5659
No log 8.0 264 0.5240 0.6021 0.6728 0.5736
No log 9.0 297 0.5247 0.6071 0.6769 0.5659
No log 10.0 330 0.5257 0.5924 0.6672 0.5659

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.0.0+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2