ron-the-code/DEP_BERT_Classification

1---2library_name: transformers3license: apache-2.04base_model: bert-base-uncased5tags:6- generated_from_trainer7model-index:8- name: DEP_BERT_Classification9  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# DEP_BERT_Classification16 17This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.18It achieves the following results on the evaluation set:19- Loss: 0.000020 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: 1640- eval_batch_size: 1641- seed: 4242- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments43- lr_scheduler_type: linear44- num_epochs: 345 46### Training results47 48| Training Loss | Epoch | Step | Validation Loss |49|:-------------:|:-----:|:----:|:---------------:|50| 0.0001        | 1.0   | 77   | 0.0001          |51| 0.0           | 2.0   | 154  | 0.0000          |52| 0.0           | 3.0   | 231  | 0.0000          |53 54 55### Framework versions56 57- Transformers 4.47.158- Pytorch 2.5.1+cu12159- Tokenizers 0.21.060