medicare-gpt2-large – AI Model by PFcoding | AlphaNeural AI

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PFcoding/
medicare-gpt2-large

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text-generation

generated_from_trainer

pubmed-summarization

autotrain_compatible

text-generation-inference

endpoints_compatible

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medicare-gpt2-large

This model is a fine-tuned version of gpt2 on the pubmed-summarization dataset. It achieves the following results on the evaluation set:

Loss: 2.6383

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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.9036	0.08	500	4.2296
3.7554	0.16	1000	3.3542
3.2457	0.23	1500	3.0897
3.065	0.31	2000	2.9694
2.966	0.39	2500	2.8919
2.8912	0.47	3000	2.8305
2.8345	0.55	3500	2.7817
2.7818	0.62	4000	2.7378
2.7391	0.7	4500	2.7001
2.7052	0.78	5000	2.6689
2.6769	0.86	5500	2.6486
2.6599	0.94	6000	2.6383

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Test input samples

diabetes is caused by