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gpt-2 – AI Model by GANYANG | AlphaNeural AI
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GANYANG
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gpt-2
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pytorch
tensorboard
generated_from_trainer
mit
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gpt-2
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6604
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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.837
0.51
200
1.7257
1.7602
1.03
400
1.6777
1.7341
1.54
600
1.6604
Framework versions
Transformers 4.27.1
Pytorch 2.0.0
Datasets 2.10.1
Tokenizers 0.13.3
