This model is a fine-tuned version of redrussianarmy/gpt2-turkish-cased on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.3995
eval_model_preparation_time: 0.0021
eval_runtime: 1.335
eval_samples_per_second: 94.378
eval_steps_per_second: 11.985
step: 0
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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
