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outputs – AI Model by alka3tras | AlphaNeural AI
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outputs
This model is a fine-tuned version of
distilgpt2
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: 0.0003
train_batch_size: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 33
total_train_batch_size: 99
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 1
Training results
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
