muhtasham / small-mlm-conll2003-from-scratch-custom-tokenizer-target-conll2003

huggingface.co
Total runs: 44
24-hour runs: 0
7-day runs: 7
30-day runs: 29
Model's Last Updated: January 20 2023
token-classification

Introduction of small-mlm-conll2003-from-scratch-custom-tokenizer-target-conll2003

Model Details of small-mlm-conll2003-from-scratch-custom-tokenizer-target-conll2003

small-mlm-conll2003-from-scratch-custom-tokenizer-target-conll2003

This model is a fine-tuned version of muhtasham/small-mlm-conll2003-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3448
  • Precision: 0.5713
  • Recall: 0.6853
  • F1: 0.6231
  • Accuracy: 0.9188
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: 3e-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: constant
  • training_steps: 5000
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.5039 1.14 500 0.4083 0.4419 0.4899 0.4647 0.8780
0.3033 2.28 1000 0.3461 0.4899 0.5717 0.5276 0.8962
0.2307 3.42 1500 0.3217 0.4619 0.6373 0.5356 0.9006
0.182 4.56 2000 0.3198 0.4844 0.6530 0.5562 0.9045
0.1502 5.69 2500 0.3146 0.5239 0.6528 0.5813 0.9104
0.1265 6.83 3000 0.3216 0.4999 0.6755 0.5746 0.9071
0.1042 7.97 3500 0.3151 0.5320 0.6666 0.5918 0.9138
0.0873 9.11 4000 0.3378 0.5443 0.6839 0.6062 0.9139
0.0723 10.25 4500 0.3487 0.5488 0.6781 0.6066 0.9140
0.0636 11.39 5000 0.3448 0.5713 0.6853 0.6231 0.9188
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2

Runs of muhtasham small-mlm-conll2003-from-scratch-custom-tokenizer-target-conll2003 on huggingface.co

44
Total runs
0
24-hour runs
4
3-day runs
7
7-day runs
29
30-day runs

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