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CS505-Dev-CSI-vibert-base-cased – AI Model by ThuyNT03 | AlphaNeural AI
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CS505-Dev-CSI-vibert-base-cased
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
FPTAI/vibert-base-cased
finetune
autotrain_compatible
endpoints_compatible
us
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CS505-Dev-CSI-vibert-base-cased
This model is a fine-tuned version of
FPTAI/vibert-base-cased
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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
Training results
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
