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flan-t5-base-finetunned-summarization – AI Model by Mohammed-Hamza | AlphaNeural AI
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Mohammed-Hamza
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flan-t5-base-finetunned-summarization
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peft
safetensors
adapter
lora
transformers
google/flan-t5-base
apache-2.0
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flan-t5-base-finetunned-summarization
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1034
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: 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.1787
1.0
6230
0.1034
Framework versions
PEFT 0.17.0
Transformers 4.55.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
