adriansanz / 070524_epoch_1

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Total runs: 13
24-hour runs: 0
7-day runs: 2
30-day runs: 9
Model's Last Updated: May 07 2024
text-classification

Introduction of 070524_epoch_1

Model Details of 070524_epoch_1

060524_epoch_1

This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8543
  • Accuracy: 0.6261
  • Precision: 0.6293
  • Recall: 0.6261
  • F1: 0.6237
  • Ratio: 0.5798
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: 10
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 20
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.06
  • lr_scheduler_warmup_steps: 4
  • num_epochs: 1
  • label_smoothing_factor: 0.1
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1 Ratio
3.74 0.1626 10 1.8200 0.5126 0.5133 0.5126 0.5058 0.6176
1.3496 0.3252 20 1.1848 0.5210 0.5213 0.5210 0.5193 0.4412
1.1148 0.4878 30 1.0206 0.5336 0.5398 0.5336 0.5147 0.6975
0.9521 0.6504 40 0.9135 0.5756 0.5804 0.5756 0.5692 0.3782
0.9059 0.8130 50 0.8922 0.5924 0.6200 0.5924 0.5676 0.7395
0.9092 0.9756 60 0.8547 0.6261 0.6301 0.6261 0.6231 0.5882
Framework versions
  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of adriansanz 070524_epoch_1 on huggingface.co

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