metadata

license: mit
base_model: EleutherAI/gpt-neo-125m
tags:
  - generated_from_trainer
model-index:
  - name: gpt-neo-125m_LAMA_TREx_finetuning_aeda
    results: []

gpt-neo-125m_LAMA_TREx_finetuning_aeda

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