gpt-neo-2.7B_LAMA_TREx_finetuning_eda
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_eda
Base model
EleutherAI/gpt-neo-2.7B