judithrosell / BERT_ST_DA_100_v2

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: September 07 2024
token-classification

Introduction of BERT_ST_DA_100_v2

Model Details of BERT_ST_DA_100_v2

BERT_ST_DA_100_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: 0.2371
  • Precision: 0.9457
  • Recall: 0.9480
  • F1: 0.9469
  • Accuracy: 0.9446
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: 16
  • eval_batch_size: 16
  • 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
No log 1.0 59 0.3489 0.9065 0.9194 0.9129 0.9085
No log 2.0 118 0.2883 0.9190 0.9267 0.9228 0.9180
No log 3.0 177 0.2505 0.9322 0.9403 0.9362 0.9330
No log 4.0 236 0.2300 0.9384 0.9446 0.9415 0.9384
No log 5.0 295 0.2305 0.9397 0.9435 0.9416 0.9386
No log 6.0 354 0.2332 0.9443 0.9482 0.9462 0.9438
No log 7.0 413 0.2341 0.9433 0.9468 0.9450 0.9429
No log 8.0 472 0.2364 0.9441 0.9474 0.9457 0.9430
0.1814 9.0 531 0.2339 0.9457 0.9472 0.9465 0.9439
0.1814 10.0 590 0.2371 0.9457 0.9480 0.9469 0.9446
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Runs of judithrosell BERT_ST_DA_100_v2 on huggingface.co

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https://huggingface.co/judithrosell/BERT_ST_DA_100_v2

BERT_ST_DA_100_v2 install

BERT_ST_DA_100_v2 is an open source model from GitHub that offers a free installation service, and any user can find BERT_ST_DA_100_v2 on GitHub to install. At the same time, huggingface.co provides the effect of BERT_ST_DA_100_v2 install, users can directly use BERT_ST_DA_100_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/BERT_ST_DA_100_v2

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