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students_scores_model – AI Model by GeorgeCU | AlphaNeural AI
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GeorgeCU
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students_scores_model
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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students_scores_model
This model is a fine-tuned version of
google-bert/bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1465
F1: 0.7432
Accuracy: 0.9630
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Accuracy
No log
1.0
239
0.1341
0.6772
0.9557
No log
2.0
478
0.1245
0.7449
0.9658
0.1498
3.0
717
0.1465
0.7432
0.9630
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
