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T5FineTune – AI Model by Pavitra05 | AlphaNeural AI
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Pavitra05
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T5FineTune
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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T5FineTune
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1869
Rouge1: 0.2412
Rouge2: 0.0125
Rougel: 0.2437
Rougelsum: 0.2456
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: 0.0003
train_batch_size: 8
eval_batch_size: 4
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
No log
1.0
40
2.4261
0.1017
0.0625
0.1004
0.1013
No log
2.0
80
2.1869
0.2412
0.0125
0.2437
0.2456
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
