medication-lists – AI Model by austin | AlphaNeural AI

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austin/
medication-lists

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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medication-lists

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0228

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: 0.004
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.2309	0.15	400	0.1886
0.151	0.3	800	0.1260
0.1061	0.45	1200	0.0852
0.0773	0.6	1600	0.0610
0.0693	0.75	2000	0.0498
0.0505	0.9	2400	0.0428
0.0428	1.05	2800	0.0387
0.0343	1.2	3200	0.0324
0.0289	1.35	3600	0.0299
0.0281	1.5	4000	0.0265
0.0251	1.65	4400	0.0250
0.0208	1.8	4800	0.0236
0.021	1.95	5200	0.0228

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu117
Datasets 2.14.7
Tokenizers 0.14.1