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basefinedqlort5 – AI Model by AathifMohammed | AlphaNeural AI
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AathifMohammed
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basefinedqlort5
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peft
tensorboard
safetensors
generated_from_trainer
google-t5/t5-base
adapter
apache-2.0
us
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basefinedqlort5
This model is a fine-tuned version of
google-t5/t5-base
on an unknown dataset.
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
125
11.7205
21.2714
9.1141
14.9499
19.6057
79.0843
Framework versions
PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
