--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: results results: [] --- # results This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.3691 - Micro f1: 0.3798 - Macro f1: 0.0172 ## 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: 512 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| | No log | 1.0 | 4 | 0.6471 | 0.0960 | 0.0322 | | No log | 2.0 | 8 | 0.5902 | 0.2933 | 0.0364 | | No log | 3.0 | 12 | 0.5430 | 0.3700 | 0.0345 | | No log | 4.0 | 16 | 0.5061 | 0.3709 | 0.0307 | | No log | 5.0 | 20 | 0.4765 | 0.3756 | 0.0216 | | No log | 6.0 | 24 | 0.4524 | 0.3748 | 0.0179 | | No log | 7.0 | 28 | 0.4326 | 0.3788 | 0.0173 | | No log | 8.0 | 32 | 0.4160 | 0.3803 | 0.0173 | | No log | 9.0 | 36 | 0.4027 | 0.3798 | 0.0172 | | No log | 10.0 | 40 | 0.3920 | 0.3798 | 0.0172 | | No log | 11.0 | 44 | 0.3836 | 0.3798 | 0.0172 | | No log | 12.0 | 48 | 0.3773 | 0.3798 | 0.0172 | | No log | 13.0 | 52 | 0.3728 | 0.3798 | 0.0172 | | No log | 14.0 | 56 | 0.3701 | 0.3798 | 0.0172 | | No log | 15.0 | 60 | 0.3691 | 0.3798 | 0.0172 | ### Framework versions - Transformers 4.24.0 - Pytorch 1.12.1+cu113 - Datasets 2.7.1 - Tokenizers 0.13.2