metadata
tags:
- generated_from_trainer
model-index:
- name: multi-label-class-classification-on-github-issues
results: []
multi-label-class-classification-on-github-issues
This model is a fine-tuned version of 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