| | --- |
| | license: apache-2.0 |
| | base_model: distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: distilbert-base-uncased-lora-text-classification |
| | 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. --> |
| |
|
| | # distilbert-base-uncased-lora-text-classification |
| |
|
| | 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: 0.7319 |
| | - Accuracy: {'accuracy': 0.889} |
| |
|
| | ## 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: 0.001 |
| | - train_batch_size: 3 |
| | - eval_batch_size: 3 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------------------:| |
| | | No log | 1.0 | 334 | 0.3624 | {'accuracy': 0.885} | |
| | | 0.4609 | 2.0 | 668 | 0.4852 | {'accuracy': 0.864} | |
| | | 0.2886 | 3.0 | 1002 | 0.5991 | {'accuracy': 0.882} | |
| | | 0.2886 | 4.0 | 1336 | 0.6573 | {'accuracy': 0.89} | |
| | | 0.0844 | 5.0 | 1670 | 0.7319 | {'accuracy': 0.889} | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.32.1 |
| | - Pytorch 2.1.0 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| |
|
