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fakeqlort5 – AI Model by 12345deena | AlphaNeural AI
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12345deena
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fakeqlort5
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peft
tensorboard
safetensors
generated_from_trainer
google-t5/t5-base
adapter
apache-2.0
us
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fakeqlort5
This model is a fine-tuned version of
google-t5/t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3242
Rouge1: 43.7262
Rouge2: 20.7658
Rougel: 26.8096
Rougelsum: 39.9061
Gen Len: 292.984
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: 5e-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
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.6036
1.0
1000
2.3242
43.7262
20.7658
26.8096
39.9061
292.984
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
