ron-the-code/my_awesome_qa_model_BERT_Tutorial

1---2library_name: transformers3license: apache-2.04base_model: distilbert-base-uncased5tags:6- generated_from_trainer7model-index:8- name: my_awesome_qa_model_BERT_Tutorial9  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# my_awesome_qa_model_BERT_Tutorial16 17This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.18 19## Model description20 21More information needed22 23## Intended uses & limitations24 25More information needed26 27## Training and evaluation data28 29More information needed30 31## Training procedure32 33### Training hyperparameters34 35The following hyperparameters were used during training:36- learning_rate: 2e-0537- train_batch_size: 1638- eval_batch_size: 1639- seed: 4240- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments41- lr_scheduler_type: linear42- num_epochs: 143 44### Training results45 46| Training Loss | Epoch | Step | Validation Loss |47|:-------------:|:-----:|:----:|:---------------:|48| No log        | 1.0   | 2    | 5.9336          |49 50 51### Framework versions52 53- Transformers 4.47.154- Pytorch 2.5.1+cu12155- Datasets 3.2.056- Tokenizers 0.21.057