gpt-neo-125m_LAMA_TREx_finetuning_eda
This model is a fine-tuned version of EleutherAI/gpt-neo-125m 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
- Downloads last month
- 12
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for KimByeongSu/gpt-neo-125m_LAMA_TREx_finetuning_eda
Base model
EleutherAI/gpt-neo-125m