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

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ribhu/
distilbert-clinical-ner

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token-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-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: 0.3672

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
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	36	0.2829
No log	2.0	72	0.2953
No log	3.0	108	0.3107
No log	4.0	144	0.3310
No log	5.0	180	0.3451
No log	6.0	216	0.3449
No log	7.0	252	0.3620
No log	8.0	288	0.3668
No log	9.0	324	0.3661
No log	10.0	360	0.3672

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Tokenizers 0.19.1