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my_awesome_model_classification_w_adapter – AI Model by ChengZ2003 | AlphaNeural AI
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ChengZ2003
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my_awesome_model_classification_w_adapter
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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my_awesome_model_classification_w_adapter
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0038
Accuracy: 1.0
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: 16
eval_batch_size: 16
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
No log
1.0
15
0.0175
1.0
No log
2.0
30
0.0038
1.0
Framework versions
Transformers 4.35.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0
