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QGC1 – AI Model by Asif-Sheriff | AlphaNeural AI
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Asif-Sheriff
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QGC1
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/t5-v1_1-large
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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QGC1
This model is a fine-tuned version of
google/t5-v1_1-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2173
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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
3.5327
0.4819
200
3.8386
2.8333
0.9639
400
3.5579
0.5724
1.4458
600
2.1992
0.4847
1.9277
800
2.2173
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
