metadata
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: deberta-v3-base-finetuned-t_vendor
results: []
deberta-v3-base-finetuned-t_vendor
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: 0.3395
- Accuracy: 0.895
- F1: 0.9025
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: 64
- eval_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|---|
| 0.685 | 1.0 | 26 | 0.6479 | 0.51 | 0.5687 |
| 0.5257 | 2.0 | 52 | 0.3567 | 0.845 | 0.8637 |
| 0.2651 | 3.0 | 78 | 0.2971 | 0.885 | 0.8958 |
| 0.1958 | 4.0 | 104 | 0.3338 | 0.9 | 0.9068 |
| 0.1535 | 5.0 | 130 | 0.3395 | 0.895 | 0.9025 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1