| --- |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - matthews_correlation |
| model-index: |
| - name: AIA_B_HW1 |
| 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. --> |
|
|
| # AIA_B_HW1 |
|
|
| 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: 0.7819 |
| - Matthews Correlation: 0.5382 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
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|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2.9425471811084e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 16 |
| - seed: 22 |
| - 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 | Matthews Correlation | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
| | No log | 1.0 | 268 | 0.5090 | 0.4244 | |
| | 0.431 | 2.0 | 536 | 0.4669 | 0.5179 | |
| | 0.431 | 3.0 | 804 | 0.5552 | 0.5260 | |
| | 0.1892 | 4.0 | 1072 | 0.7417 | 0.5158 | |
| | 0.1892 | 5.0 | 1340 | 0.7819 | 0.5382 | |
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|
| ### Framework versions |
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|
| - Transformers 4.39.1 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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