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prot_bert-finetuned-mhc – AI Model by yiminghuang47 | AlphaNeural AI
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prot_bert-finetuned-mhc
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
Rostlab/prot_bert
finetune
autotrain_compatible
endpoints_compatible
us
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prot_bert-finetuned-MHC
This model is a fine-tuned version of
Rostlab/prot_bert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.6702
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
101
2.7188
No log
2.0
202
2.6904
No log
3.0
303
2.6655
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3
