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ACoRN_Flan-t5-large-popQA – AI Model by Alan96 | AlphaNeural AI
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Alan96
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ACoRN_Flan-t5-large-popQA
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-large
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-large-popqa-train_005
This model is a fine-tuned version of
google/flan-t5-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7579
Model Preparation Time: 0.0129
Gen Len: 34.2955
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: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 8
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
Gen Len
0.5664
0.8565
1000
0.7601
0.0129
35.2199
0.5281
1.7126
2000
0.7579
0.0129
34.2955
0.4884
2.5687
3000
0.7601
0.0129
35.6312
Framework versions
Transformers 4.47.0
Pytorch 2.4.0
Datasets 3.2.0
Tokenizers 0.21.0
