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longt5 – AI Model by AathifMohammed | AlphaNeural AI
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AathifMohammed
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longt5
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peft
tensorboard
safetensors
generated_from_trainer
google/flan-t5-base
adapter
apache-2.0
us
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longt5
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: 1.8770
Rouge1: 8.7519
Rouge2: 4.0961
Rougel: 7.4152
Rougelsum: 8.2583
Gen Len: 19.0
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: 4e-05
train_batch_size: 2
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
2.1398
1.0
1029
1.9004
8.6206
4.0658
7.3531
8.1538
19.0
2.0706
2.0
2058
1.8770
8.7519
4.0961
7.4152
8.2583
19.0
Framework versions
PEFT 0.9.1.dev0
Transformers 4.39.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
