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gpt2-medium-custom – AI Model by shubhamgantayat | AlphaNeural AI
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gpt2-medium-custom
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transformers
pytorch
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2-medium
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-medium-custom
This model is a fine-tuned version of
gpt2-medium
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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 200
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
