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nystromformer-4096-medqa-usmle-nocontext – AI Model by GBaker | AlphaNeural AI
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nystromformer-4096-medqa-usmle-nocontext
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transformers
pytorch
tensorboard
nystromformer
multiple-choice
generated_from_trainer
endpoints_compatible
us
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nystromformer-4096-medqa-usmle-nocontext
This model is a fine-tuned version of
uw-madison/nystromformer-4096
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4537
Accuracy: 0.2883
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.99
79
1.3860
0.2467
No log
1.99
158
1.3853
0.2616
No log
2.99
237
1.3785
0.2820
No log
3.99
316
1.3801
0.2820
No log
4.99
395
1.4537
0.2883
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
