| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| base_model: distilbert-base-uncased |
| 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: 0.9162 |
| - Accuracy: {'accuracy': 0.901} |
|
|
| ## 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: |
| - learning_rate: 0.001 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - 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 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:-------------------:| |
| | No log | 1.0 | 250 | 0.3611 | {'accuracy': 0.871} | |
| | 0.4182 | 2.0 | 500 | 0.5356 | {'accuracy': 0.883} | |
| | 0.4182 | 3.0 | 750 | 0.5292 | {'accuracy': 0.899} | |
| | 0.2132 | 4.0 | 1000 | 0.5966 | {'accuracy': 0.897} | |
| | 0.2132 | 5.0 | 1250 | 0.6869 | {'accuracy': 0.894} | |
| | 0.0748 | 6.0 | 1500 | 0.7645 | {'accuracy': 0.898} | |
| | 0.0748 | 7.0 | 1750 | 0.8095 | {'accuracy': 0.897} | |
| | 0.0335 | 8.0 | 2000 | 0.9055 | {'accuracy': 0.892} | |
| | 0.0335 | 9.0 | 2250 | 0.9086 | {'accuracy': 0.901} | |
| | 0.0083 | 10.0 | 2500 | 0.9162 | {'accuracy': 0.901} | |
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|
| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.1+cu121 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| ## Training procedure |
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| ### Framework versions |
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| - PEFT 0.6.2 |
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|
