| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: dbert-finetuned |
| | 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. --> |
| |
|
| | # dbert-finetuned |
| |
|
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.3699 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 3.1176 | 1.0 | 7946 | 2.9781 | |
| | | 2.873 | 2.0 | 15892 | 2.7518 | |
| | | 2.7337 | 3.0 | 23838 | 2.6254 | |
| | | 2.6536 | 4.0 | 31784 | 2.5434 | |
| | | 2.5838 | 5.0 | 39730 | 2.4846 | |
| | | 2.5376 | 6.0 | 47676 | 2.4394 | |
| | | 2.513 | 7.0 | 55622 | 2.4142 | |
| | | 2.4814 | 8.0 | 63568 | 2.3870 | |
| | | 2.4737 | 9.0 | 71514 | 2.3759 | |
| | | 2.467 | 10.0 | 79460 | 2.3699 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.25.1 |
| | - Pytorch 1.13.1+cu117 |
| | - Datasets 2.8.0 |
| | - Tokenizers 0.13.2 |
| |
|
