Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetuning-sentiment-model-phobert – AI Model by NamBP24 | AlphaNeural AI
You can deploy this model and start earning money today!
NamBP24
/
finetuning-sentiment-model-phobert
like
0
transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
vinai/phobert-base-v2
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetuning-sentiment-model-phobert
This model is a fine-tuned version of
vinai/phobert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4408
Accuracy: 0.9356
F1: 0.8256
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
