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flan-t5-finetuned-nq – AI Model by b-aser | AlphaNeural AI
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flan-t5-finetuned-nq
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peft
safetensors
generated_from_trainer
google/flan-t5-small
adapter
apache-2.0
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flan-t5-finetuned-nq
This model is a fine-tuned version of
google/flan-t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7517
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
gradient_accumulation_steps: 4
total_train_batch_size: 8
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
5.9942
1.0
1063
2.7517
5.9221
2.0
2126
2.7517
5.9788
2.9976
3186
2.7517
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
