wen1126/github_cybersecurity_READMEs

1---2base_model: geralt/MechDistilGPT23tags:4- generated_from_trainer5metrics:6- accuracy7model-index:8- name: github_cybersecurity_READMEs9  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# github_cybersecurity_READMEs16 17This model is a fine-tuned version of [geralt/MechDistilGPT2](https://huggingface.co/geralt/MechDistilGPT2) on an unknown dataset.18It achieves the following results on the evaluation set:19- Loss: 9.720120- Accuracy: 0.019321 22## Model description23 24More information needed25 26## Intended uses & limitations27 28More information needed29 30## Training and evaluation data31 32More information needed33 34## Training procedure35 36### Training hyperparameters37 38The following hyperparameters were used during training:39- learning_rate: 2e-0540- train_batch_size: 841- eval_batch_size: 842- seed: 4243- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0844- lr_scheduler_type: linear45- num_epochs: 3.046 47### Training results48 49| Training Loss | Epoch | Step | Validation Loss | Accuracy |50|:-------------:|:-----:|:----:|:---------------:|:--------:|51| No log        | 1.0   | 13   | 10.5158         | 0.0045   |52| No log        | 2.0   | 26   | 9.9496          | 0.0123   |53| No log        | 3.0   | 39   | 9.7201          | 0.0193   |54 55 56### Framework versions57 58- Transformers 4.40.0.dev059- Pytorch 2.2.1+cu12160- Datasets 2.18.061- Tokenizers 0.15.262