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Flan-T5 – AI Model by csb05 | AlphaNeural AI
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csb05
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Flan-T5
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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Model card
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T5
This model is a fine-tuned version of
t5-base
on an AMI dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 5.6994
Rouge2: 1.2179
Rougel: 4.4822
Rougelsum: 4.5267
Gen Len: 15.7143
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0
0.9905
26
nan
5.6994
1.2179
4.4822
4.5267
15.7143
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
