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comment_classification – AI Model by ShynBui | AlphaNeural AI
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ShynBui
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comment_classification
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
vinai/phobert-base-v2
finetune
autotrain_compatible
endpoints_compatible
us
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comment_classification
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: 0.4330
Accuracy: 0.9236
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2653
1.0
18435
0.2584
0.9164
0.2189
2.0
36870
0.2269
0.9224
0.2005
3.0
55305
0.3377
0.9237
0.1359
4.0
73740
0.3729
0.9231
0.1131
5.0
92175
0.4330
0.9236
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Tokenizers 0.15.2
