distillbert-clinical-ner – AI Model by ribhu | AlphaNeural AI

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ribhu/
distillbert-clinical-ner

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token-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distillbert-clinical-ner

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4598

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: 3e-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_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	144	0.2837
No log	2.0	288	0.3082
No log	3.0	432	0.3243
0.1109	4.0	576	0.3519
0.1109	5.0	720	0.3840
0.1109	6.0	864	0.4083
0.045	7.0	1008	0.4329
0.045	8.0	1152	0.4411
0.045	9.0	1296	0.4589
0.045	10.0	1440	0.4598

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Tokenizers 0.19.1