afaji / bert-base-uncased-gpqa

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Total runs: 6
24-hour runs: 0
7-day runs: -1
30-day runs: 0
Model's Last Updated: March 10 2024
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Introduction of bert-base-uncased-gpqa

Model Details of bert-base-uncased-gpqa

bert-base-uncased-gpqa

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

  • Loss: 0.3847
  • Accuracy: 0.8939
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 13 1.3835 0.2525
No log 2.0 26 1.3694 0.3838
No log 3.0 39 1.3625 0.3838
No log 4.0 52 1.3641 0.3485
No log 5.0 65 1.3295 0.5404
No log 6.0 78 1.3407 0.4949
No log 7.0 91 1.2322 0.6162
No log 8.0 104 1.1000 0.5758
No log 9.0 117 1.1184 0.6717
No log 10.0 130 0.8604 0.7525
No log 11.0 143 0.7279 0.7727
No log 12.0 156 0.6254 0.7929
No log 13.0 169 0.5025 0.8636
No log 14.0 182 0.8694 0.7071
No log 15.0 195 0.4373 0.8535
No log 16.0 208 0.4071 0.9141
No log 17.0 221 0.6762 0.8131
No log 18.0 234 0.6295 0.8333
No log 19.0 247 0.3242 0.8687
No log 20.0 260 0.3847 0.8939
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-gpqa on huggingface.co

6
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
0
30-day runs

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

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

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

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

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

bert-base-uncased-gpqa install

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

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

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