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flan-t5-base – AI Model by niharika19 | AlphaNeural AI
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niharika19
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flan-t5-base
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peft
safetensors
generated_from_trainer
google/flan-t5-base
adapter
apache-2.0
us
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flan-t5-base
This model is a fine-tuned version of
google/flan-t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.0277
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: 0.1
train_batch_size: 4
eval_batch_size: 4
seed: 42
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
7
6.6555
7.7593
2.0
14
5.6942
5.7664
3.0
21
5.1998
5.7664
4.0
28
5.5724
5.3157
5.0
35
5.0277
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0
