gpt-neo-2.7B_LAMA_TREx_finetuning
This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B 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: 2e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 0
 - distributed_type: multi-GPU
 - num_devices: 4
 - total_train_batch_size: 128
 - total_eval_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
Training results
Framework versions
- Transformers 4.33.2
 - Pytorch 1.13.1
 - Datasets 2.14.5
 - Tokenizers 0.13.3
 
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Model tree for KimByeongSu/gpt-neo-2.7B_LAMA_TREx_finetuning
Base model
EleutherAI/gpt-neo-2.7B