metadata
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-v3-base-clickbait-task1-20-epoch-post_title
results: []
deberta-v3-base-clickbait-task1-20-epoch-post_title
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4262
- Accuracy: 0.7275
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 200 | 0.7682 | 0.715 |
| No log | 2.0 | 400 | 0.7289 | 0.7125 |
| 0.7821 | 3.0 | 600 | 0.7968 | 0.705 |
| 0.7821 | 4.0 | 800 | 0.9608 | 0.73 |
| 0.3436 | 5.0 | 1000 | 1.0204 | 0.7275 |
| 0.3436 | 6.0 | 1200 | 1.3033 | 0.71 |
| 0.3436 | 7.0 | 1400 | 1.4924 | 0.7325 |
| 0.1188 | 8.0 | 1600 | 1.6538 | 0.7325 |
| 0.1188 | 9.0 | 1800 | 2.1675 | 0.7 |
| 0.0458 | 10.0 | 2000 | 2.0062 | 0.71 |
| 0.0458 | 11.0 | 2200 | 2.1166 | 0.7 |
| 0.0458 | 12.0 | 2400 | 2.3641 | 0.71 |
| 0.0147 | 13.0 | 2600 | 2.3338 | 0.7 |
| 0.0147 | 14.0 | 2800 | 2.2134 | 0.7125 |
| 0.0106 | 15.0 | 3000 | 2.3733 | 0.72 |
| 0.0106 | 16.0 | 3200 | 2.3268 | 0.7175 |
| 0.0106 | 17.0 | 3400 | 2.3951 | 0.7125 |
| 0.0041 | 18.0 | 3600 | 2.4211 | 0.7275 |
| 0.0041 | 19.0 | 3800 | 2.4168 | 0.725 |
| 0.0046 | 20.0 | 4000 | 2.4262 | 0.7275 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1