finetuned_gptneo-base-tinystories-ta_v3_finetune_atnstories
This model is a fine-tuned version of tniranjan/finetuned_gptneo-base-tinystories-ta_v3 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: 1e-06
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
 - total_train_batch_size: 16
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 30
 - mixed_precision_training: Native AMP
 
Framework versions
- Transformers 4.49.0
 - Pytorch 2.6.0+cu124
 - Datasets 3.2.0
 - Tokenizers 0.21.0
 
- Downloads last month
 - -
 
Model tree for tniranjan/finetuned_gptneo-base-tinystories-ta_v3_finetune_atnstories
Base model
tniranjan/gptNeo-ta