metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-v3-base_Climate_Native
results: []
deberta-v3-base_Climate_Native
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: nan
- Accuracy: 0.0776
- Macro Precision: 0.0060
- Macro F1: 0.0111
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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro Precision | Macro F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 54 | nan | 0.0776 | 0.0060 | 0.0111 |
| No log | 2.0 | 108 | nan | 0.0776 | 0.0060 | 0.0111 |
| No log | 3.0 | 162 | nan | 0.0776 | 0.0060 | 0.0111 |
| No log | 4.0 | 216 | nan | 0.0776 | 0.0060 | 0.0111 |
| No log | 5.0 | 270 | nan | 0.0776 | 0.0060 | 0.0111 |
| No log | 6.0 | 324 | nan | 0.0776 | 0.0060 | 0.0111 |
| No log | 7.0 | 378 | nan | 0.0776 | 0.0060 | 0.0111 |
| No log | 8.0 | 432 | nan | 0.0776 | 0.0060 | 0.0111 |
| No log | 9.0 | 486 | nan | 0.0776 | 0.0060 | 0.0111 |
| 2.5071 | 10.0 | 540 | nan | 0.0776 | 0.0060 | 0.0111 |
| 2.5071 | 11.0 | 594 | nan | 0.0776 | 0.0060 | 0.0111 |
| 2.5071 | 12.0 | 648 | nan | 0.0776 | 0.0060 | 0.0111 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2