metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: url_classifier
results: []
url_classifier
This model is a fine-tuned version of 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