metadata
license: mit
base_model: openai-gpt
tags:
- generated_from_trainer
model-index:
- name: test_pretrain_pipeline
results: []
test_pretrain_pipeline
This model is a fine-tuned version of openai-gpt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7307
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3