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matscibert-finetuned – AI Model by Abdulaziz747 | AlphaNeural AI
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matscibert-finetuned
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transformers
safetensors
bert
token-classification
generated_from_trainer
m3rg-iitd/matscibert
finetune
mit
endpoints_compatible
us
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matscibert-finetuned
This model is a fine-tuned version of
m3rg-iitd/matscibert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0261
Accuracy: 0.9941
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: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.037
0.8446
500
0.0362
0.9924
0.0216
1.6892
1000
0.0273
0.9934
0.0103
2.5338
1500
0.0261
0.9941
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0
