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T5-PromptPimp-Finetunedv2 – AI Model by treysarkar | AlphaNeural AI
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T5-PromptPimp-Finetunedv2
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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T5-PromptPimp-Finetunedv2
This model is a fine-tuned version of
google-t5/t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3102
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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
1.4486
0.8820
800
1.3963
1.4288
1.7641
1600
1.3503
1.3987
2.6461
2400
1.3280
1.4023
3.5281
3200
1.3161
1.3899
4.4101
4000
1.3102
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
