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