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flant5-large-lora – AI Model by dtruong46me | AlphaNeural AI
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flant5-large-lora
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peft
safetensors
generated_from_trainer
google/flan-t5-large
adapter
apache-2.0
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flant5-large-lora
This model is a fine-tuned version of
google/flan-t5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6119
Rouge1: 8.9675
Rouge2: 0.6714
Rougel: 8.0407
Rougelsum: 8.3753
Gen Len: 18.37
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: 1e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
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
1.8402
1.0
1538
0.7486
8.8441
0.6859
7.9731
8.3103
19.502
0.8152
2.0
3076
0.6119
8.9675
0.6714
8.0407
8.3753
18.37
Framework versions
PEFT 0.11.1
Transformers 4.36.1
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.15.2
