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error-test – AI Model by ahsan-mavros | AlphaNeural AI
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error-test
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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error-test
This model is a fine-tuned version of
google/flan-t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0649
Rouge1: 98.8411
Rouge2: 95.5257
Rougel: 98.8389
Rougelsum: 98.8411
Gen Len: 5.0
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
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0675
1.0
2500
0.0649
98.8411
95.5257
98.8389
98.8411
5.0
Framework versions
Transformers 4.33.1
Pytorch 2.0.0
Datasets 2.14.5
Tokenizers 0.13.3
