metadata
license: mit
base_model: microsoft/deberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-base-clickbait-post-content-200
results: []
deberta-base-clickbait-post-content-200
This model is a fine-tuned version of microsoft/deberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8678
- Accuracy: 0.74
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 |
|---|---|---|---|---|
| No log | 1.0 | 200 | 0.7607 | 0.66 |
| No log | 2.0 | 400 | 0.6765 | 0.735 |
| 0.7461 | 3.0 | 600 | 0.7431 | 0.715 |
| 0.7461 | 4.0 | 800 | 0.7622 | 0.7575 |
| 0.3037 | 5.0 | 1000 | 0.8678 | 0.74 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1