afaji / bert-base-uncased-swag

huggingface.co
Total runs: 8
24-hour runs: -1
7-day runs: 1
30-day runs: 4
Model's Last Updated: March 12 2024
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Introduction of bert-base-uncased-swag

Model Details of bert-base-uncased-swag

bert-base-uncased-swag

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3863
  • Accuracy: 0.2929
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: 0.0005
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 321
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 20
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 63 1.4088 0.2273
No log 2.0 126 1.4448 0.2323
No log 3.0 189 1.6544 0.2323
No log 4.0 252 1.8585 0.2424
No log 5.0 315 1.9976 0.2121
No log 6.0 378 1.8819 0.2071
No log 7.0 441 1.3863 0.1919
0.7104 8.0 504 1.3863 0.2929
0.7104 9.0 567 1.3863 0.1919
0.7104 10.0 630 1.3863 0.0354
0.7104 11.0 693 1.3863 0.1010
0.7104 12.0 756 1.3863 0.1364
0.7104 13.0 819 1.3863 0.0
0.7104 14.0 882 1.3863 0.1111
0.7104 15.0 945 1.3863 0.0556
1.4022 16.0 1008 1.3863 0.0253
1.4022 17.0 1071 1.3863 0.1970
1.4022 18.0 1134 1.3863 0.0
1.4022 19.0 1197 1.3863 0.0909
1.4022 20.0 1260 1.3863 0.0505
Framework versions
  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.14.0

Runs of afaji bert-base-uncased-swag on huggingface.co

8
Total runs
-1
24-hour runs
0
3-day runs
1
7-day runs
4
30-day runs

More Information About bert-base-uncased-swag huggingface.co Model

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bert-base-uncased-swag huggingface.co

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

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https://huggingface.co/afaji/bert-base-uncased-swag

afaji bert-base-uncased-swag online free

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

afaji bert-base-uncased-swag online free url in huggingface.co:

https://huggingface.co/afaji/bert-base-uncased-swag

bert-base-uncased-swag install

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

bert-base-uncased-swag install url in huggingface.co:

https://huggingface.co/afaji/bert-base-uncased-swag

Url of bert-base-uncased-swag

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afaji
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