metadata
tags:
- generated_from_trainer
model-index:
- name: fake-pretrained-gpt-17m
results: []
gpt-fake-lang-17m
This model is a pre-trained GPT2 (with 17m parameters) on a synthetic dataset (1gb of documents created in 4 fake languages, each with a formal and informal writing style). It achieves the following results on the evaluation set:
- Loss: 3.5592
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5175 | 1.0 | 46857 | 3.5592 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1