metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: function_classifier_deberta
results: []
function_classifier_deberta
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: 1.0549
- Accuracy: 0.5758
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5863 | 1.0 | 694 | 0.8759 | 0.6 |
| 0.5448 | 2.0 | 1388 | 0.7824 | 0.5742 |
| 0.5244 | 3.0 | 2082 | 0.7285 | 0.6045 |
| 0.4831 | 4.0 | 2776 | 0.8557 | 0.5955 |
| 0.4684 | 5.0 | 3470 | 0.9415 | 0.5970 |
| 0.3931 | 6.0 | 4164 | 1.0549 | 0.5758 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3