| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: llm-selector |
| 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. --> |
|
|
| # llm-selector |
|
|
| 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: 1.7315 |
| - Accuracy: 0.5048 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - 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 | 118 | 1.8920 | 0.3714 | |
| | No log | 2.0 | 236 | 1.7753 | 0.5143 | |
| | No log | 3.0 | 354 | 1.7671 | 0.4952 | |
| | No log | 4.0 | 472 | 1.7441 | 0.5048 | |
| | 1.8665 | 5.0 | 590 | 1.7315 | 0.5048 | |
| | 1.8665 | 6.0 | 708 | 1.7413 | 0.5048 | |
| | 1.8665 | 7.0 | 826 | 1.7378 | 0.4667 | |
| | 1.8665 | 8.0 | 944 | 1.7426 | 0.4667 | |
| | 1.7254 | 9.0 | 1062 | 1.7513 | 0.4476 | |
| | 1.7254 | 10.0 | 1180 | 1.7513 | 0.4476 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
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|
