| | --- |
| | license: mit |
| | base_model: microsoft/deberta-v3-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: hr_techgroup |
| | 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. --> |
| |
|
| | # hr_techgroup |
| | |
| | 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: 0.0512 |
| | - Accuracy: 0.9773 |
| | - F1: 0.9784 |
| | - Precision: 0.9790 |
| | - Recall: 0.9779 |
| | |
| | ## 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: 64 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | | No log | 1.0 | 114 | 0.0839 | 0.9618 | 0.9624 | 0.9624 | 0.9624 | |
| | | No log | 2.0 | 228 | 0.0536 | 0.9740 | 0.9749 | 0.9746 | 0.9751 | |
| | | No log | 3.0 | 342 | 0.0523 | 0.9751 | 0.9757 | 0.9762 | 0.9751 | |
| | | No log | 4.0 | 456 | 0.0517 | 0.9768 | 0.9776 | 0.9773 | 0.9779 | |
| | | 0.1003 | 5.0 | 570 | 0.0512 | 0.9773 | 0.9784 | 0.9790 | 0.9779 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.42.4 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
