metadata

library_name: transformers
base_model: allenai/scibert_scivocab_uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: defect-classification-scibert-prompt-05-epochs
    results: []

defect-classification-scibert-prompt-05-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: 0.4094
Accuracy: 0.8078

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: 768
eval_batch_size: 768
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3562	1.0	53084	0.4182	0.8043
0.3518	2.0	106168	0.3997	0.8114
0.3501	3.0	159252	0.4120	0.8073
0.3459	4.0	212336	0.4094	0.8067
0.3463	5.0	265420	0.4094	0.8078

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0