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Clinical-Longformer-SurgicalCardiothoracic – AI Model by Gaborandi | AlphaNeural AI
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Gaborandi
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Clinical-Longformer-SurgicalCardiothoracic
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transformers
pytorch
tensorboard
longformer
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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Clinical-Longformer-SurgicalCardiothoracic
This model is a fine-tuned version of
yikuan8/Clinical-Longformer
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9943
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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1515
1.1133
No log
2.0
3030
1.0476
No log
3.0
4545
1.0114
No log
4.0
6060
0.9958
No log
5.0
7575
0.9928
Framework versions
Transformers 4.17.0
Pytorch 1.8.0
Datasets 2.2.2
Tokenizers 0.11.6
