Instructions to use HiAmNear/phobert-base-comment-SoIEA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiAmNear/phobert-base-comment-SoIEA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HiAmNear/phobert-base-comment-SoIEA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
phobert-base-SolEA
This model is a fine-tuned version of vinai/phobert-base on an unknown 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.57.3
- Pytorch 2.7.1+cu118
- Datasets 4.4.1
- Tokenizers 0.22.1
Inference Providers NEW
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Model tree for HiAmNear/phobert-base-comment-SoIEA
Base model
vinai/phobert-base