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long-t5-local-base-ILC – AI Model by AathifMohammed | AlphaNeural AI
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AathifMohammed
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long-t5-local-base-ILC
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transformers
tensorboard
safetensors
longt5
text2text-generation
generated_from_trainer
google/long-t5-local-base
finetune
apache-2.0
endpoints_compatible
us
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long-t5-local-base-ILC
This model is a fine-tuned version of
google/long-t5-local-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 0.1592
Rouge2: 0.0004
Rougel: 0.1506
Rougelsum: 0.1581
Gen Len: 299.0
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
1.0
515
nan
0.1592
0.0004
0.1506
0.1581
299.0
Framework versions
Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
