judithrosell / VF_BERT_ST_1800_V2

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 1
30-day runs: 3
Model's Last Updated: September 08 2024
token-classification

Introduction of VF_BERT_ST_1800_V2

Model Details of VF_BERT_ST_1800_V2

VF_BERT_ST_1800_V2

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

  • Loss: 0.1698
  • Precision: 0.9686
  • Recall: 0.9772
  • F1: 0.9729
  • Accuracy: 0.9683
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: 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: 10
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.2128 1.0 569 0.1128 0.9644 0.9733 0.9688 0.9654
0.0784 2.0 1138 0.1145 0.9668 0.9753 0.9710 0.9672
0.0512 3.0 1707 0.1242 0.9680 0.9746 0.9712 0.9663
0.0327 4.0 2276 0.1227 0.9706 0.9762 0.9734 0.9673
0.022 5.0 2845 0.1298 0.9684 0.9755 0.9719 0.9686
0.0153 6.0 3414 0.1410 0.9710 0.9778 0.9744 0.9698
0.0118 7.0 3983 0.1589 0.9681 0.9777 0.9729 0.9686
0.0058 8.0 4552 0.1617 0.9696 0.9773 0.9735 0.9691
0.005 9.0 5121 0.1731 0.9685 0.9773 0.9729 0.9683
0.0043 10.0 5690 0.1698 0.9686 0.9772 0.9729 0.9683
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Runs of judithrosell VF_BERT_ST_1800_V2 on huggingface.co

5
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
3
30-day runs

More Information About VF_BERT_ST_1800_V2 huggingface.co Model

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VF_BERT_ST_1800_V2 huggingface.co

VF_BERT_ST_1800_V2 huggingface.co is an AI model on huggingface.co that provides VF_BERT_ST_1800_V2's model effect (), which can be used instantly with this judithrosell VF_BERT_ST_1800_V2 model. huggingface.co supports a free trial of the VF_BERT_ST_1800_V2 model, and also provides paid use of the VF_BERT_ST_1800_V2. Support call VF_BERT_ST_1800_V2 model through api, including Node.js, Python, http.

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https://huggingface.co/judithrosell/VF_BERT_ST_1800_V2

VF_BERT_ST_1800_V2 install

VF_BERT_ST_1800_V2 is an open source model from GitHub that offers a free installation service, and any user can find VF_BERT_ST_1800_V2 on GitHub to install. At the same time, huggingface.co provides the effect of VF_BERT_ST_1800_V2 install, users can directly use VF_BERT_ST_1800_V2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/judithrosell/VF_BERT_ST_1800_V2

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judithrosell
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