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pr_dataset_metadata
loicmagne/pr_dataset_metadata
pr_dataset_metadata is a machine learning model from loicmagne. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Jul 7, 2022
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 7, 2022
- Updated
- Jul 7, 2022
- SHA
- 6495d76b
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
pr_dataset_metadata
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6216
- eval_accuracy: 1.0
- eval_runtime: 0.4472
- eval_samples_per_second: 2.236
- eval_steps_per_second: 2.236
- step: 0
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: 16
- seed: 42
- distributed_type: not_parallel
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.12.1
- License
- apache-2.0
- Created
- Jul 7, 2022
- Updated
- Jul 7, 2022