metadata
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-v3-large_test
results: []
deberta-v3-large_test
This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6938
- Accuracy: 0.788
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: 3e-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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 310 | 0.6067 | 0.784 |
| 0.5494 | 2.0 | 620 | 0.8963 | 0.786 |
| 0.5494 | 3.0 | 930 | 1.4195 | 0.814 |
| 0.1122 | 4.0 | 1240 | 1.5111 | 0.778 |
| 0.0298 | 5.0 | 1550 | 1.6544 | 0.77 |
| 0.0298 | 6.0 | 1860 | 1.6181 | 0.792 |
| 0.0086 | 7.0 | 2170 | 1.6938 | 0.788 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2