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ops_tg – AI Model by tangminhanh | AlphaNeural AI
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ops_tg
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ops_tg
This model is a fine-tuned version of
microsoft/deberta-v3-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1093
Accuracy: 0.9740
F1: 0.9740
Precision: 0.9740
Recall: 0.9740
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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
No log
1.0
121
0.1322
0.9751
0.9751
0.9751
0.9751
No log
2.0
242
0.1093
0.9740
0.9740
0.9740
0.9740
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
