| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: outputs_test |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # outputs_test |
| | |
| | This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9518 |
| | - Accuracy: 0.7386 |
| | |
| | ## 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: 8e-05 |
| | - train_batch_size: 128 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 15 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 12 | 0.7810 | 0.5943 | |
| | | No log | 2.0 | 24 | 0.5357 | 0.6629 | |
| | | No log | 3.0 | 36 | 0.4338 | 0.7129 | |
| | | No log | 4.0 | 48 | 0.5672 | 0.6886 | |
| | | No log | 5.0 | 60 | 0.7802 | 0.7114 | |
| | | No log | 6.0 | 72 | 0.7019 | 0.73 | |
| | | No log | 7.0 | 84 | 0.7304 | 0.7514 | |
| | | No log | 8.0 | 96 | 1.0413 | 0.72 | |
| | | No log | 9.0 | 108 | 0.8902 | 0.7314 | |
| | | No log | 10.0 | 120 | 0.8441 | 0.7514 | |
| | | No log | 11.0 | 132 | 0.7846 | 0.7643 | |
| | | No log | 12.0 | 144 | 0.8730 | 0.7586 | |
| | | No log | 13.0 | 156 | 0.9532 | 0.7386 | |
| | | No log | 14.0 | 168 | 0.9541 | 0.74 | |
| | | No log | 15.0 | 180 | 0.9518 | 0.7386 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.30.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
