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sentinel-v3-final – AI Model by Shreevatsa01 | AlphaNeural AI
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Shreevatsa01
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sentinel-v3-final
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transformers
safetensors
bert
token-classification
generated_from_trainer
Shreevatsa01/sentinel-biobert-reddit-v2
finetune
endpoints_compatible
us
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sentinel-v3-final
This model is a fine-tuned version of
Shreevatsa01/sentinel-biobert-reddit-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1851
F1: 0.7578
Precision: 0.7393
Recall: 0.7772
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 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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Precision
Recall
0.1561
1.0
355
0.1617
0.7402
0.0
0.0
0.1233
2.0
710
0.1653
0.7456
0.0
0.0
0.097
3.0
1065
0.1851
0.7578
0.0
0.0
0.081
4.0
1420
0.2004
0.7496
0.0
0.0
Framework versions
Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
