| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: multi-label-class-classification-on-github-issues | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # multi-label-class-classification-on-github-issues | |
| This model is a fine-tuned version of [neuralmagic/oBERT-12-upstream-pruned-unstructured-97](https://huggingface.co/neuralmagic/oBERT-12-upstream-pruned-unstructured-97) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2718 | |
| - Micro f1: 0.3779 | |
| - 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: 64 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 30 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| | |
| | No log | 1.0 | 49 | 0.2715 | 0.3791 | 0.0172 | | |
| | No log | 2.0 | 98 | 0.1682 | 0.3791 | 0.0172 | | |
| | No log | 3.0 | 147 | 0.1425 | 0.3791 | 0.0172 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cu116 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |