Hemg / my_awesome_qa_model

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: 4
Model's Last Updated: May 09 2024
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Introduction of my_awesome_qa_model

Model Details of my_awesome_qa_model

my_awesome_qa_model

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

  • Loss: 2.0850
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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss
No log 1.0 125 2.8407
No log 2.0 250 2.1922
No log 3.0 375 2.0850
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of Hemg my_awesome_qa_model on huggingface.co

8
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More my_awesome_qa_model license Visit here:

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

my_awesome_qa_model huggingface.co

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

my_awesome_qa_model huggingface.co Url

https://huggingface.co/Hemg/my_awesome_qa_model

Hemg my_awesome_qa_model online free

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Hemg my_awesome_qa_model online free url in huggingface.co:

https://huggingface.co/Hemg/my_awesome_qa_model

my_awesome_qa_model install

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

my_awesome_qa_model install url in huggingface.co:

https://huggingface.co/Hemg/my_awesome_qa_model

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Hemg
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