ontochem_biobert_1e-5_10epochs_v2 – AI Model by oleshy | AlphaNeural AI

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oleshy/
ontochem_biobert_1e-5_10epochs_v2

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token-classification

generated_from_trainer

dmis-lab/biobert-v1.1

autotrain_compatible

endpoints_compatible

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ontochem_biobert_1e-5_10epochs_v2

This model is a fine-tuned version of dmis-lab/biobert-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0428

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: 64
eval_batch_size: 64
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	48	0.9247
No log	2.0	96	0.4733
No log	3.0	144	0.1217
No log	4.0	192	0.0692
No log	5.0	240	0.0546
No log	6.0	288	0.0487
No log	7.0	336	0.0461
No log	8.0	384	0.0445
No log	9.0	432	0.0447
No log	10.0	480	0.0428

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2