--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue model-index: - name: bert-base-uncased-sst2 results: [] --- # bert-base-uncased-sst2 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset. ## 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: 9e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - distributed_type: IPU - gradient_accumulation_steps: 32 - total_train_batch_size: 2048 - total_eval_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 2 - training precision: Mixed Precision ### Training results ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.1+cpu - Datasets 2.11.0 - Tokenizers 0.13.3