learn_hf_spanish_sentence_classification_by_school_subject

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

  • Loss: 0.1089
  • Accuracy: 0.98

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.9708 1.0 7 1.4555 0.74
1.0578 2.0 14 0.7770 0.94
0.4502 3.0 21 0.4253 0.94
0.1843 4.0 28 0.3211 0.9
0.093 5.0 35 0.2449 0.94
0.057 6.0 42 0.2013 0.96
0.0375 7.0 49 0.1631 0.96
0.0266 8.0 56 0.1402 0.96
0.022 9.0 63 0.1304 0.96
0.0189 10.0 70 0.1261 0.96
0.0161 11.0 77 0.1299 0.92
0.0158 12.0 84 0.1188 0.98
0.0159 13.0 91 0.1123 0.98
0.0134 14.0 98 0.1094 0.98
0.0127 15.0 105 0.1089 0.98

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.0
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