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cv-qa-model – AI Model by Peramanathan | AlphaNeural AI
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Peramanathan
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cv-qa-model
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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cv-qa-model
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: 1.0194
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: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
4.4757
1.0
156
3.1304
2.8728
2.0
312
1.8267
1.9891
3.0
468
1.2753
1.6409
4.0
624
1.0741
1.5526
5.0
780
1.0194
Framework versions
Transformers 4.56.1
Pytorch 2.8.0
Datasets 4.0.0
Tokenizers 0.22.0
