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QA_prompt – AI Model by StaAhmed | AlphaNeural AI
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StaAhmed
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QA_prompt
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
StaAhmed/QA_prompt
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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QA_prompt
This model is a fine-tuned version of
StaAhmed/QA_prompt
on the None dataset.
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: 0.0002
train_batch_size: 2
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
training_steps: 40
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.17.0
Tokenizers 0.15.2
