grace-pro / flipped_5e-5_igbo

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: July 27 2023
token-classification

Introduction of flipped_5e-5_igbo

Model Details of flipped_5e-5_igbo

flipped_5e-5_igbo

This model is a fine-tuned version of Davlan/afro-xlmr-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3125
  • Precision: 0.3694
  • Recall: 0.1838
  • F1: 0.2455
  • Accuracy: 0.8977
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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.2975 1.0 1202 0.2816 0.2750 0.0578 0.0955 0.8990
0.2743 2.0 2404 0.2823 0.3149 0.0703 0.1149 0.9010
0.2415 3.0 3606 0.2842 0.3713 0.1375 0.2007 0.9007
0.2136 4.0 4808 0.3080 0.3688 0.1450 0.2082 0.8999
0.1904 5.0 6010 0.3125 0.3694 0.1838 0.2455 0.8977
Framework versions
  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.0
  • Tokenizers 0.13.3

Runs of grace-pro flipped_5e-5_igbo on huggingface.co

12
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0
24-hour runs
0
3-day runs
0
7-day runs
1
30-day runs

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flipped_5e-5_igbo huggingface.co

flipped_5e-5_igbo huggingface.co is an AI model on huggingface.co that provides flipped_5e-5_igbo's model effect (), which can be used instantly with this grace-pro flipped_5e-5_igbo model. huggingface.co supports a free trial of the flipped_5e-5_igbo model, and also provides paid use of the flipped_5e-5_igbo. Support call flipped_5e-5_igbo model through api, including Node.js, Python, http.

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flipped_5e-5_igbo install

flipped_5e-5_igbo is an open source model from GitHub that offers a free installation service, and any user can find flipped_5e-5_igbo on GitHub to install. At the same time, huggingface.co provides the effect of flipped_5e-5_igbo install, users can directly use flipped_5e-5_igbo installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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