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SciBERT-POWO_Life_Form_Finetuned – AI Model by ViktorDo | AlphaNeural AI
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ViktorDo
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SciBERT-POWO_Life_Form_Finetuned
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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SciBERT-POWO_Life_Form_Finetuned
This model is a fine-tuned version of
allenai/scibert_scivocab_uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4135
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4591
1.0
1004
0.4599
0.375
2.0
2008
0.4093
0.3167
3.0
3012
0.4135
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
