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defect-classification-scibert-prompt-02-epochs – AI Model by ppak10 | AlphaNeural AI
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defect-classification-scibert-prompt-02-epochs
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transformers
safetensors
generated_from_trainer
allenai/scibert_scivocab_uncased
finetune
endpoints_compatible
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defect-classification-scibert-prompt-02-epochs
This model is a fine-tuned version of
allenai/scibert_scivocab_uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4014
Accuracy: 0.8090
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: 256
eval_batch_size: 256
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3611
1.0
159250
0.4036
0.8099
0.3564
2.0
318500
0.4014
0.8090
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
