| 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 | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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 | |