metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: announcementClassfication
results: []
announcementClassfication
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6517
- Accuracy: 0.85
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: 4.2784821702055725e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 36
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 30 | 0.5825 | 0.7833 |
| No log | 2.0 | 60 | 0.4329 | 0.7833 |
| No log | 3.0 | 90 | 0.4763 | 0.7833 |
| No log | 4.0 | 120 | 0.6297 | 0.8333 |
| No log | 5.0 | 150 | 0.6517 | 0.85 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3