--- license: apache-2.0 base_model: distilgpt2 tags: - generated_from_trainer datasets: - wikitext metrics: - accuracy model-index: - name: clm results: - task: name: Causal Language Modeling type: text-generation dataset: name: wikitext type: wikitext config: wikitext-2-raw-v1 split: validation args: wikitext-2-raw-v1 metrics: - name: Accuracy type: accuracy value: 0.37187601824698596 --- # clm This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the wikitext dataset. It achieves the following results on the evaluation set: - Loss: 3.4802 - Accuracy: 0.3719 ## 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: 3e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 0 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 3.6158 | 0.99 | 72 | 3.4802 | 0.3719 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3