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ExplainMed_v1 – AI Model by Shrutiras | AlphaNeural AI
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Shrutiras
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ExplainMed_v1
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
razent/SciFive-base-Pubmed_PMC
finetune
text-generation-inference
endpoints_compatible
us
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ExplainMed_v1
This model is a fine-tuned version of
razent/SciFive-base-Pubmed_PMC
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2169
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.6732
3.0
861
0.2169
Framework versions
Transformers 5.14.1
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
