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20231130_BioBart-Base_5ep_Summ_Loss_0.76 – AI Model by zibajoon | AlphaNeural AI
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20231130_BioBart-Base_5ep_Summ_Loss_0.76
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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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20231130_BioBart-Base_5ep_Summ
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: 0.7539
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: 1e-05
train_batch_size: 1
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.8288
1.0
1201
0.7430
0.6141
2.0
2402
0.7103
0.5191
3.0
3603
0.7173
0.4039
4.0
4804
0.7414
0.341
5.0
6005
0.7539
Framework versions
Transformers 4.34.1
Pytorch 2.1.1+cu121
Datasets 2.10.1
Tokenizers 0.14.1
