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primera-pubmed-20k – AI Model by Chung-Fan | AlphaNeural AI
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primera-pubmed-20k
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transformers
safetensors
led
text2text-generation
generated_from_trainer
allenai/PRIMERA
finetune
endpoints_compatible
us
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primera-pubmed-20k
This model is a fine-tuned version of
allenai/PRIMERA
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9765
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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.0647
0.7477
500
0.9765
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
