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phobert-base-finetuned
PaulTran/phobert-base-finetuned
phobert-base-finetuned is a multiple choice model from PaulTran. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Nov 11, 2023
- Updated
- Nov 11, 2023
- SHA
- ef778710
Base models
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. -->
phobert-base-finetuned
This model is a fine-tuned version of vinai/phobert-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3863
- eval_accuracy: 0.2459
- eval_runtime: 93.3925
- eval_samples_per_second: 60.797
- eval_steps_per_second: 3.801
- epoch: 7.0
- step: 9940
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: 0.0027
- 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 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- multiple choice
- Library
- transformers
- Type
- roberta
- Created
- Nov 11, 2023
- Updated
- Nov 11, 2023