| | --- |
| | license: apache-2.0 |
| | base_model: distilbert/distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: my_awesome_model_priority_3 |
| | 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. --> |
| |
|
| | # my_awesome_model_priority_3 |
| |
|
| | This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1090 |
| | - Accuracy: 0.9875 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 11 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 10 | 0.8290 | 0.625 | |
| | | No log | 2.0 | 20 | 0.6544 | 0.8187 | |
| | | No log | 3.0 | 30 | 0.4782 | 0.8688 | |
| | | No log | 4.0 | 40 | 0.3593 | 0.9062 | |
| | | No log | 5.0 | 50 | 0.2612 | 0.9313 | |
| | | No log | 6.0 | 60 | 0.2043 | 0.9313 | |
| | | No log | 7.0 | 70 | 0.1709 | 0.9375 | |
| | | No log | 8.0 | 80 | 0.1448 | 0.95 | |
| | | No log | 9.0 | 90 | 0.1236 | 0.9688 | |
| | | No log | 10.0 | 100 | 0.1129 | 0.9875 | |
| | | No log | 11.0 | 110 | 0.1090 | 0.9875 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
