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ec-biogpt-noised-pubmed-match-v1 – AI Model by gayanin | AlphaNeural AI
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ec-biogpt-noised-pubmed-match-v1
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transformers
pytorch
biogpt
text-generation
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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ec-biogpt-noised-pubmed-match-v1
This model is a fine-tuned version of
microsoft/biogpt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3325
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3677
0.72
500
1.3193
1.078
1.43
1000
1.2750
0.8879
2.15
1500
1.2838
0.9581
2.87
2000
1.2663
0.8084
3.59
2500
1.3051
0.7004
4.3
3000
1.3325
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
