adriansanz / te-zsc-authentic

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: -1
30-day runs: 0
Model's Last Updated: Maio 30 2024
text-classification

Introduction of te-zsc-authentic

Model Details of te-zsc-authentic

AUTH_300524_epoch_4

This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4656
  • Accuracy: 0.9038
  • Precision: 0.9047
  • Recall: 0.9038
  • F1: 0.9038
  • Ratio: 0.4760
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: 47
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.06
  • lr_scheduler_warmup_steps: 4
  • num_epochs: 1
  • label_smoothing_factor: 0.1
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1 Ratio
0.4294 0.0354 10 0.5003 0.9018 0.9020 0.9018 0.9018 0.5100
0.386 0.0708 20 0.5308 0.8938 0.8952 0.8938 0.8937 0.4699
0.4424 0.1062 30 0.4881 0.8998 0.9000 0.8998 0.8998 0.4900
0.42 0.1416 40 0.4916 0.9068 0.9091 0.9068 0.9067 0.4629
0.418 0.1770 50 0.4905 0.8968 0.8968 0.8968 0.8968 0.4950
0.4402 0.2124 60 0.5034 0.8988 0.9027 0.8988 0.8986 0.4509
0.4141 0.2478 70 0.5085 0.9028 0.9061 0.9028 0.9026 0.4549
0.4836 0.2832 80 0.4875 0.9028 0.9029 0.9028 0.9028 0.4910
0.4361 0.3186 90 0.4876 0.8998 0.8998 0.8998 0.8998 0.4980
0.45 0.3540 100 0.4985 0.8938 0.8938 0.8938 0.8938 0.5040
0.4648 0.3894 110 0.5236 0.8858 0.8954 0.8858 0.8851 0.4218
0.4714 0.4248 120 0.5009 0.8888 0.8888 0.8888 0.8888 0.5010
0.4628 0.4602 130 0.4971 0.8868 0.8871 0.8868 0.8867 0.4850
0.4513 0.4956 140 0.4971 0.8968 0.9003 0.8968 0.8966 0.4529
0.4905 0.5310 150 0.4873 0.8938 0.8969 0.8938 0.8936 0.4559
0.4875 0.5664 160 0.4760 0.8948 0.8948 0.8948 0.8948 0.4950
0.4593 0.6018 170 0.4818 0.8918 0.8918 0.8918 0.8918 0.4960
0.403 0.6372 180 0.4927 0.8928 0.8936 0.8928 0.8927 0.4770
0.4838 0.6726 190 0.5039 0.8958 0.9001 0.8958 0.8955 0.4479
0.4512 0.7080 200 0.4913 0.8978 0.9009 0.8978 0.8976 0.4559
0.4415 0.7434 210 0.4874 0.8988 0.8989 0.8988 0.8988 0.4930
0.5317 0.7788 220 0.4786 0.9018 0.9021 0.9018 0.9018 0.4860
0.4718 0.8142 230 0.4746 0.9008 0.9041 0.9008 0.9006 0.4549
0.473 0.8496 240 0.4686 0.9028 0.9044 0.9028 0.9027 0.4689
0.499 0.8850 250 0.4689 0.9028 0.9031 0.9028 0.9028 0.4870
0.5655 0.9204 260 0.4661 0.9068 0.9074 0.9068 0.9068 0.4810
0.4583 0.9558 270 0.4654 0.9048 0.9057 0.9048 0.9048 0.4770
0.4734 0.9912 280 0.4656 0.9038 0.9047 0.9038 0.9038 0.4760
Framework versions
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of adriansanz te-zsc-authentic on huggingface.co

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More Information About te-zsc-authentic huggingface.co Model

More te-zsc-authentic license Visit here:

https://choosealicense.com/licenses/apache-2.0

te-zsc-authentic huggingface.co

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

te-zsc-authentic huggingface.co Url

https://huggingface.co/adriansanz/te-zsc-authentic

adriansanz te-zsc-authentic online free

te-zsc-authentic huggingface.co is an online trial and call api platform, which integrates te-zsc-authentic's modeling effects, including api services, and provides a free online trial of te-zsc-authentic, you can try te-zsc-authentic online for free by clicking the link below.

adriansanz te-zsc-authentic online free url in huggingface.co:

https://huggingface.co/adriansanz/te-zsc-authentic

te-zsc-authentic install

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

te-zsc-authentic install url in huggingface.co:

https://huggingface.co/adriansanz/te-zsc-authentic

Url of te-zsc-authentic

te-zsc-authentic huggingface.co Url

Provider of te-zsc-authentic huggingface.co

adriansanz
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