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brh_desc_csv_trained_sciBERT – AI Model by imadejski | AlphaNeural AI
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imadejski
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brh_desc_csv_trained_sciBERT
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
allenai/scibert_scivocab_uncased
finetune
autotrain_compatible
endpoints_compatible
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brh_desc_csv_trained_sciBERT
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: 9.9441
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1
9.8422
No log
2.0
2
9.4417
No log
3.0
3
9.3270
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
