ShynBui
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comment_classification_v2

Text Classification

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comment_classification_v2

This model is a fine-tuned version of ShynBui/comment_classification on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1372
Accuracy: 0.9775

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
0.1271	1.0	5190	0.1112	0.9738
0.077	2.0	10380	0.0945	0.9749
0.0494	3.0	15570	0.1181	0.9766
0.0342	4.0	20760	0.1282	0.9763
0.0201	5.0	25950	0.1372	0.9775

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Tokenizers 0.15.2

Downloads last month: 4

Safetensors

Model size

135M params

Tensor type

F32

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Text Classification

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Evaluation results

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