metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
base_model: distilbert-base-uncased
model-index:
- name: distilbert-base-uncased-finetuned-tickets
results: []
distilbert-base-uncased-finetuned-tickets
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4542
- Accuracy: 0.869
- F1: 0.8626
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 2.2847 | 1.0 | 110 | 1.3868 | 0.681 | 0.6215 |
| 1.1164 | 2.0 | 220 | 0.8190 | 0.804 | 0.7759 |
| 0.7155 | 3.0 | 330 | 0.6261 | 0.833 | 0.8127 |
| 0.5457 | 4.0 | 440 | 0.5272 | 0.859 | 0.8464 |
| 0.4425 | 5.0 | 550 | 0.4858 | 0.868 | 0.8586 |
| 0.3716 | 6.0 | 660 | 0.4751 | 0.868 | 0.8606 |
| 0.3212 | 7.0 | 770 | 0.4630 | 0.865 | 0.8573 |
| 0.2819 | 8.0 | 880 | 0.4587 | 0.874 | 0.8681 |
| 0.2709 | 9.0 | 990 | 0.4538 | 0.874 | 0.8676 |
| 0.2375 | 10.0 | 1100 | 0.4542 | 0.869 | 0.8626 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.2