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20231207_Step_101_Retrain_Augmn_Instrn_BioBart_Xep_Loss_0.45 – AI Model by zibajoon | AlphaNeural AI
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20231207_Step_101_Retrain_Augmn_Instrn_BioBart_Xep_Loss_0.45
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
GanjinZero/biobart-v2-large
finetune
apache-2.0
endpoints_compatible
us
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20231207_Step_101_Retrain_Augmn_Instrn_BioBart_Xep_Loss_TBD
This model is a fine-tuned version of
GanjinZero/biobart-v2-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4449
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
0.4613
1.0
901
0.3336
0.1954
2.0
1802
0.3913
0.079
3.0
2703
0.4449
Framework versions
Transformers 4.34.1
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.14.1
