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flant5-midlr – AI Model by joel4899 | AlphaNeural AI
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joel4899
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flant5-midlr
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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flan-t5-finetuned-kaggle
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0598
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1031
1.0
332
0.0708
0.0773
2.0
664
0.0620
0.0752
3.0
996
0.0598
Framework versions
Transformers 4.45.1
Pytorch 2.4.0+cpu
Datasets 3.0.1
Tokenizers 0.20.0
