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test_pretrain_pipeline – AI Model by tmnam20 | AlphaNeural AI
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test_pretrain_pipeline
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transformers
pytorch
openai-gpt
text-generation
generated_from_trainer
openai-community/openai-gpt
finetune
mit
autotrain_compatible
endpoints_compatible
us
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test_pretrain_pipeline
This model is a fine-tuned version of
openai-gpt
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.7312
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.18
num_epochs: 3.0
Training results
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
