--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuned-self_mlm_mini results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text split: train args: plain_text metrics: - name: Accuracy type: accuracy value: 0.8224 - name: F1 type: f1 value: 0.9025460930640913 --- # finetuned-self_mlm_mini This model is a fine-tuned version of [muhtasham/bert-tiny-mlm-finetuned-imdb](https://huggingface.co/muhtasham/bert-tiny-mlm-finetuned-imdb) on the imdb dataset. It achieves the following results on the evaluation set: - Loss: 0.6150 - Accuracy: 0.8224 - F1: 0.9025 ## 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: 3e-05 - train_batch_size: 128 - eval_batch_size: 128 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - num_epochs: 200 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | 0.4426 | 2.55 | 500 | 0.4673 | 0.7928 | 0.8844 | | 0.2845 | 5.1 | 1000 | 0.3099 | 0.8697 | 0.9303 | | 0.2282 | 7.65 | 1500 | 0.3432 | 0.8589 | 0.9241 | | 0.1819 | 10.2 | 2000 | 0.2702 | 0.8998 | 0.9472 | | 0.1461 | 12.76 | 2500 | 0.4852 | 0.8344 | 0.9097 | | 0.111 | 15.31 | 3000 | 0.6807 | 0.7950 | 0.8858 | | 0.0883 | 17.86 | 3500 | 0.6150 | 0.8224 | 0.9025 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.12.1+cu113 - Datasets 2.7.1 - Tokenizers 0.13.2