metadata
license: mit
base_model: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: zero-shot_text_classification_fine_tuned
results: []
zero-shot_text_classification_fine_tuned
This model is a fine-tuned version of MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7573
- Accuracy: 0.82
- F1: 0.8207
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.6738 | 1.0 | 750 | 0.8938 | 0.712 | 0.7142 |
| 0.7626 | 2.0 | 1500 | 0.8021 | 0.7645 | 0.7633 |
| 0.6333 | 3.0 | 2250 | 0.7307 | 0.7965 | 0.7997 |
| 0.5001 | 4.0 | 3000 | 0.6905 | 0.817 | 0.8181 |
| 0.3686 | 5.0 | 3750 | 0.7573 | 0.82 | 0.8207 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0