CoolFace
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asdc/timeml_event_detection

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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roberta-base-biomedical-clinical-es-finetuned-ner

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-biomedical-clinical-es on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1382

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
  • trainbatchsize: 4
  • evalbatchsize: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 14

Training results

Training LossEpochStepValidation Loss
0.33151.0120.3878
0.24192.0240.2655
0.1753.0360.1888
0.14414.0480.1808
0.11115.0600.1544
0.10646.0720.1506
0.09627.0840.1396
0.13678.0960.1403
0.03039.01080.1415
0.074110.01200.1355
0.055411.01320.1355
0.054212.01440.1360
0.029213.01560.1369
0.018814.01680.1382

Framework versions

  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1