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bert-base-cased-cv-studio_name-medium

Text Classification
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PyTorch
bert
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-base-cased-cv-studio_name-medium
    results: []
widget:
  - text: >-
      Egresado de la carrera Ingeniería en Computación Conocimientos de
      lenguajes HTML, CSS, Javascript y MySQL. Experiencia trabajando en ámbitos
      de redes de pequeña y mediana escala. Inglés Hablado nivel básico, escrito
      nivel intermedio.HTML, CSS y JavaScript. Realidad aumentada.  Lenguaje R.
      HTML5, JavaScript y Nodejs
  - text: >-
      mi nombre es Ivan Ducales Marquez, hago de subpresidente en la republica
      de Colombia. tengo experiencia en seguir órdenes de mis patrocinadores y
      repartir los recursos del país a empresarios corruptos

bert-base-cased-cv-studio_name-medium

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3310
  • F1 Micro: 0.6388
  • F1 Macro: 0.5001

Model description

Predicts a studio name based on a CV text

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Micro F1 Macro Precision Micro Recall Micro
1.4139 0.98 1000 1.3831 0.6039 0.6039 0.4188 0.6039 0.6039
1.1561 1.96 2000 1.2386 0.6554 0.6554 0.4743 0.6554 0.6554
0.9183 2.93 3000 1.2201 0.6576 0.6576 0.5011 0.6576 0.6576
0.677 3.91 4000 1.3478 0.6442 0.6442 0.5206 0.6442 0.6442
0.4857 4.89 5000 1.4765 0.6393 0.6393 0.5215 0.6393 0.6393
0.3318 5.87 6000 1.6924 0.6442 0.6442 0.5024 0.6442 0.6442
0.2273 6.84 7000 1.8645 0.6444 0.6444 0.5060 0.6444 0.6444
0.1396 7.82 8000 2.1143 0.6381 0.6381 0.5181 0.6381 0.6381
0.0841 8.8 9000 2.2699 0.6359 0.6359 0.5065 0.6359 0.6359
0.0598 9.78 10000 2.3310 0.6388 0.6388 0.5001 0.6388 0.6388

Framework versions

  • Transformers 4.19.0
  • Pytorch 1.8.2+cu111
  • Datasets 1.6.2
  • Tokenizers 0.12.1