grace-pro / wandb_v4_5e-5

huggingface.co
Total runs: 23
24-hour runs: 0
7-day runs: 1
30-day runs: 18
Model's Last Updated: August 10 2023
token-classification

Introduction of wandb_v4_5e-5

Model Details of wandb_v4_5e-5

wandb_v4_5e-5

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: 0.1647
  • Precision: 0.3544
  • Recall: 0.2986
  • F1: 0.3241
  • Accuracy: 0.9519
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
0.1942 0.54 500 0.1416 0.3913 0.1885 0.2544 0.9571
0.1761 1.07 1000 0.1391 0.3919 0.1800 0.2467 0.9574
0.1561 1.61 1500 0.1362 0.4214 0.2081 0.2786 0.9582
0.1538 2.15 2000 0.1436 0.3513 0.2747 0.3083 0.9529
0.1327 2.68 2500 0.1453 0.3424 0.2984 0.3189 0.9510
0.1218 3.22 3000 0.1467 0.3726 0.2862 0.3237 0.9540
0.1068 3.76 3500 0.1583 0.3466 0.3004 0.3218 0.9513
0.0978 4.29 4000 0.1658 0.3413 0.3021 0.3205 0.9505
0.0891 4.83 4500 0.1647 0.3544 0.2986 0.3241 0.9519
Framework versions
  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3

Runs of grace-pro wandb_v4_5e-5 on huggingface.co

23
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
18
30-day runs

More Information About wandb_v4_5e-5 huggingface.co Model

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wandb_v4_5e-5 install

wandb_v4_5e-5 is an open source model from GitHub that offers a free installation service, and any user can find wandb_v4_5e-5 on GitHub to install. At the same time, huggingface.co provides the effect of wandb_v4_5e-5 install, users can directly use wandb_v4_5e-5 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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