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PhoLexiContent-200
ace-in-the-hole/PhoLexiContent-200
PhoLexiContent-200 is a machine learning model from ace-in-the-hole. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as agpl-3.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Nov 28, 2024
Parameters
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At a glance
- Library
- transformers
- License
- agpl-3.0
- Access
- Public
- Created
- Nov 20, 2024
- Updated
- Nov 28, 2024
- SHA
- 2e19f7f2
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. -->
PhoLexiContent-200
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- License
- agpl-3.0
- Created
- Nov 20, 2024
- Updated
- Nov 28, 2024