metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-uncased
model-index:
- name: covid_miss_information_classification
results: []
covid_miss_information_classification
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: 0.0017
- Accuracy: 0.9996
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: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|---|---|---|---|---|
| 0.1469 | 1.0 | 722 | 0.0330 | 0.9915 |
| 0.0601 | 2.0 | 1444 | 0.0163 | 0.9956 |
| 0.0143 | 3.0 | 2166 | 0.0052 | 0.9990 |
| 0.0123 | 4.0 | 2888 | 0.0024 | 0.9994 |
| 0.003 | 5.0 | 3610 | 0.0017 | 0.9996 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3