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gpt2-chinese-ft-qa – AI Model by abzjy024 | AlphaNeural AI
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gpt2-chinese-ft-qa
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-chinese-ft-qa
This model is a fine-tuned version of
uer/gpt2-chinese-cluecorpussmall
on an unknown 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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.27.0.dev0
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
