--- tags: - generated_from_trainer datasets: - wikitext metrics: - accuracy base_model: gpt2_tiny_random model-index: - name: output_tiny results: - task: type: text-generation name: Causal Language Modeling dataset: name: wikitext wikitext-103-v1 type: wikitext args: wikitext-103-v1 metrics: - type: accuracy value: 0.2132901596611274 name: Accuracy --- # output_tiny This model is a fine-tuned version of [gpt2_tiny_random](https://huggingface.co/gpt2_tiny_random) on the wikitext wikitext-103-v1 dataset. It achieves the following results on the evaluation set: - Loss: 5.3359 - Accuracy: 0.2133 ## 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: 0.0001 - train_batch_size: 32 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 50000 ### Training results ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.1 - Datasets 2.8.0 - Tokenizers 0.13.2