tmppzxoh1ve
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1367
- Accuracy: 0.9661
- F1 Macro: 0.9659
- Accuracy Balanced: 0.9662
- F1 Micro: 0.9661
- Precision Macro: 0.9656
- Recall Macro: 0.9662
- Precision Micro: 0.9661
- Recall Micro: 0.9661
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: 80
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
---|---|---|---|---|---|---|---|---|---|---|---|
No log | 1.0 | 74 | 0.1516 | 0.9618 | 0.9614 | 0.9601 | 0.9618 | 0.9635 | 0.9601 | 0.9618 | 0.9618 |
No log | 2.0 | 148 | 0.1285 | 0.9745 | 0.9744 | 0.9744 | 0.9745 | 0.9744 | 0.9744 | 0.9745 | 0.9745 |
No log | 3.0 | 222 | 0.1230 | 0.9745 | 0.9743 | 0.9729 | 0.9745 | 0.9764 | 0.9729 | 0.9745 | 0.9745 |
No log | 4.0 | 296 | 0.1059 | 0.9713 | 0.9712 | 0.9709 | 0.9713 | 0.9714 | 0.9709 | 0.9713 | 0.9713 |
No log | 5.0 | 370 | 0.1226 | 0.9682 | 0.9680 | 0.9680 | 0.9682 | 0.9680 | 0.9680 | 0.9682 | 0.9682 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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