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twhin-bert-base

Text Classification
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PyTorch
bert
Generated from Trainer
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twhin-bert-base / README.md
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metadata
license: apache-2.0
base_model: Twitter/twhin-bert-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: twhin-bert-base
    results: []

twhin-bert-base

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

  • Loss: 0.6341
  • F1: 0.3077

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-07
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss F1
0.6867 1.0 189 0.6817 0.1026
0.684 2.0 378 0.6746 0.0571
0.675 3.0 567 0.6649 0.0
0.6642 4.0 756 0.6577 0.0
0.6653 5.0 945 0.6542 0.0
0.6649 6.0 1134 0.6479 0.0
0.6648 7.0 1323 0.6460 0.0
0.6511 8.0 1512 0.6387 0.0
0.6535 9.0 1701 0.6332 0.0
0.6544 10.0 1890 0.6261 0.0
0.6382 11.0 2079 0.6154 0.0
0.6315 12.0 2268 0.6051 0.0
0.6231 13.0 2457 0.5957 0.2326
0.603 14.0 2646 0.5858 0.2326
0.6034 15.0 2835 0.5771 0.2553
0.5938 16.0 3024 0.5694 0.2308
0.5884 17.0 3213 0.5642 0.3103
0.5763 18.0 3402 0.5611 0.3103
0.5675 19.0 3591 0.5641 0.2857
0.5672 20.0 3780 0.5598 0.3000
0.5674 21.0 3969 0.5579 0.2857
0.5479 22.0 4158 0.5642 0.3125
0.5621 23.0 4347 0.5688 0.2903
0.5516 24.0 4536 0.5685 0.3077
0.5597 25.0 4725 0.5713 0.3077
0.5418 26.0 4914 0.5761 0.3077
0.5477 27.0 5103 0.5752 0.3030
0.535 28.0 5292 0.5876 0.3077
0.5544 29.0 5481 0.5841 0.3030
0.5238 30.0 5670 0.5855 0.3030
0.5375 31.0 5859 0.5894 0.3030
0.5092 32.0 6048 0.5985 0.3077
0.5262 33.0 6237 0.5988 0.3077
0.5418 34.0 6426 0.6038 0.3077
0.531 35.0 6615 0.6087 0.3077
0.5627 36.0 6804 0.6064 0.3077
0.545 37.0 6993 0.6110 0.3077
0.5105 38.0 7182 0.6134 0.3077
0.5471 39.0 7371 0.6111 0.3077
0.5114 40.0 7560 0.6212 0.3077
0.5411 41.0 7749 0.6159 0.3077
0.5304 42.0 7938 0.6213 0.3077
0.5146 43.0 8127 0.6276 0.3077
0.5223 44.0 8316 0.6301 0.3077
0.5345 45.0 8505 0.6281 0.3077
0.5368 46.0 8694 0.6284 0.3077
0.516 47.0 8883 0.6320 0.3077
0.5241 48.0 9072 0.6339 0.3077
0.5267 49.0 9261 0.6342 0.3077
0.5478 50.0 9450 0.6341 0.3077

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.1.2
  • Datasets 2.12.0
  • Tokenizers 0.13.3