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ontochem_biobert_v2 – AI Model by oleshy | AlphaNeural AI
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oleshy
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ontochem_biobert_v2
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transformers
safetensors
bert
token-classification
generated_from_trainer
dmis-lab/biobert-base-cased-v1.1
finetune
autotrain_compatible
endpoints_compatible
us
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ontochem_biobert_v2
This model is a fine-tuned version of
dmis-lab/biobert-base-cased-v1.1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0312
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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
96
0.6038
No log
2.0
192
0.0551
No log
3.0
288
0.0369
No log
4.0
384
0.0338
No log
5.0
480
0.0307
0.2606
6.0
576
0.0312
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
