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scifive_two_epoch – AI Model by vsamuel | AlphaNeural AI
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vsamuel
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scifive_two_epoch
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
razent/SciFive-base-Pubmed_PMC
finetune
text-generation-inference
endpoints_compatible
us
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scifive_two_epoch
This model is a fine-tuned version of
razent/SciFive-base-Pubmed_PMC
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1808
Rouge1: 0.2773
Rouge2: 0.1464
Rougel: 0.2356
Rougelsum: 0.2352
Gen Len: 17.07
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: 4
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
275
2.2837
0.2323
0.1199
0.1967
0.1962
16.15
2.4778
2.0
550
2.1808
0.2773
0.1464
0.2356
0.2352
17.07
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
