Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
MatSciBERT-domain-classifier – AI Model by Navya2703 | AlphaNeural AI
You can deploy this model and start earning money today!
Navya2703
/
MatSciBERT-domain-classifier
like
0
transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
allenai/scibert_scivocab_uncased
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
MatSciBERT-domain-classifier
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: 0.3556
F1: 0.9027
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
F1
No log
1.0
57
1.2446
0.8089
1.8516
2.0
114
0.6696
0.8354
1.8516
3.0
171
0.4096
0.8948
0.4239
4.0
228
0.3121
0.9040
0.4239
5.0
285
0.3556
0.9027
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.21.1
