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albert-category-classification-rob-dset
pppereira3/albert-category-classification-rob-dset
albert-category-classification-rob-dset is a text classification model from pppereira3. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- Nov 2, 2024
- Updated
- Nov 3, 2024
- SHA
- 03fbebcd
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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. -->
albert-category-classification-rob-dset
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.1897
- eval_model_preparation_time: 0.0047
- eval_accuracy: 0.5857
- eval_f1: 0.5798
- eval_runtime: 99.8449
- eval_samples_per_second: 30.047
- eval_steps_per_second: 1.883
- 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- Created
- Nov 2, 2024
- Updated
- Nov 3, 2024