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scibert_epd_5tag_lora – AI Model by STUTI12345 | AlphaNeural AI
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STUTI12345
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scibert_epd_5tag_lora
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peft
safetensors
bert
token-classification
adapter
lora
transformers
allenai/scibert_scivocab_uncased
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scibert_epd_5tag_lora
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: 0.0012
Precision: 0.9995
Recall: 0.9983
F1: 0.9989
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
0.0013
1.0
7292
0.0018
0.9977
0.9984
0.9980
0.0003
2.0
14584
0.0011
0.9992
0.9988
0.9990
0.0044
3.0
21876
0.0010
0.9994
0.9991
0.9992
Framework versions
PEFT 0.18.0
Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
