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sms-parser-mobile – AI Model by rawsun00001 | AlphaNeural AI
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sms-parser-mobile
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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sms-parser-mobile
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: nan
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
1.0153
200
nan
0.0
2.0306
400
nan
Framework versions
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
