CoolFace
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cdneedham/gpt2-wikitext2

sourceHugging Facemitupdated 4mo agoView on Hugging Face
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1---2library_name: transformers3license: mit4base_model: gpt25tags:6- generated_from_trainer7model-index:8- name: gpt2-wikitext29  results: []10---11 12<!-- This model card has been generated automatically according to the information the Trainer had access to. You13should probably proofread and complete it, then remove this comment. -->14 15# gpt2-wikitext216 17This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.18It achieves the following results on the evaluation set:19- Loss: 6.269020 21## Model description22 23More information needed24 25## Intended uses & limitations26 27More information needed28 29## Training and evaluation data30 31More information needed32 33## Training procedure34 35### Training hyperparameters36 37The following hyperparameters were used during training:38- learning_rate: 2e-0539- train_batch_size: 840- eval_batch_size: 841- seed: 4242- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments43- lr_scheduler_type: linear44- num_epochs: 3.045 46### Training results47 48| Training Loss | Epoch | Step | Validation Loss |49|:-------------:|:-----:|:----:|:---------------:|50| 6.6900        | 1.0   | 2249 | 6.6087          |51| 6.3584        | 2.0   | 4498 | 6.3413          |52| 6.2061        | 3.0   | 6747 | 6.2690          |53 54 55### Framework versions56 57- Transformers 5.9.058- Pytorch 2.10.0+cu12859- Datasets 4.0.060- Tokenizers 0.22.261