flan-t5-medical-qa – AI Model by shakeelnasafian | AlphaNeural AI

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shakeelnasafian/
flan-t5-medical-qa

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text2text-generation

generated_from_trainer

google/flan-t5-small

text-generation-inference

endpoints_compatible

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flan-t5-medical-qa

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Rouge1: 0.0419
Rouge2: 0.0158
Rougel: 0.036
Rougelsum: 0.0361
Gen Len: 2.795

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	100	nan	0.0419	0.0158	0.036	0.0361	2.795
0.0	2.0	200	nan	0.0419	0.0158	0.036	0.0361	2.795
0.0	3.0	300	nan	0.0419	0.0158	0.036	0.0361	2.795
0.0	4.0	400	nan	0.0419	0.0158	0.036	0.0361	2.795

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2