| --- |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: url_classifier |
| 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. --> |
|
|
| # url_classifier |
| |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.8171 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 500 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.2484 | 0.05 | 25 | 3.0517 | |
| | 2.929 | 0.11 | 50 | 2.7754 | |
| | 2.6472 | 0.16 | 75 | 2.6031 | |
| | 2.4557 | 0.21 | 100 | 2.4572 | |
| | 2.3967 | 0.26 | 125 | 2.3530 | |
| | 2.4517 | 0.32 | 150 | 2.2555 | |
| | 2.2021 | 0.37 | 175 | 2.1556 | |
| | 2.1284 | 0.42 | 200 | 2.0751 | |
| | 1.8457 | 0.48 | 225 | 2.0418 | |
| | 1.9308 | 0.53 | 250 | 2.0402 | |
| | 2.1185 | 0.58 | 275 | 2.0035 | |
| | 1.9027 | 0.63 | 300 | 1.9822 | |
| | 1.9469 | 0.69 | 325 | 1.9410 | |
| | 2.0847 | 0.74 | 350 | 1.9050 | |
| | 1.9513 | 0.79 | 375 | 1.8948 | |
| | 1.8126 | 0.85 | 400 | 1.8771 | |
| | 2.1342 | 0.9 | 425 | 1.8413 | |
| | 2.0807 | 0.95 | 450 | 1.8250 | |
| | 1.918 | 1.0 | 475 | 1.8200 | |
| | 1.5948 | 1.06 | 500 | 1.8171 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.1 |
| - Pytorch 2.1.2 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
| |
