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t5base – AI Model by AathifMohammed | AlphaNeural AI
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AathifMohammed
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t5base
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peft
tensorboard
safetensors
generated_from_trainer
google-t5/t5-base
adapter
apache-2.0
us
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Model card
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t5base-ILC
This model is a fine-tuned version of
google-t5/t5-base
on
ILC dataset
. It achieves the following results on the evaluation set:
Loss: 3.1984
Rouge1: 8.381
Rouge2: 3.916
Rougel: 7.0243
Rougelsum: 7.8617
Gen Len: 18.9833
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
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
10.5936
0.49
500
4.4985
7.204
2.8587
5.9813
6.774
18.9665
3.9459
0.97
1000
3.1984
8.381
3.916
7.0243
7.8617
18.9833
Framework versions
PEFT 0.8.2
Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
