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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- matthews_correlation |
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model-index: |
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- name: HW1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# HW1 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1607 |
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- Matthews Correlation: 0.5443 |
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## 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: |
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- learning_rate: 1.4175716836316547e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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- seed: 20 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------------------:| |
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| 0.5335 | 1.0 | 2138 | 0.5571 | 0.4299 | |
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| 0.4842 | 2.0 | 4276 | 0.9165 | 0.4857 | |
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| 0.3472 | 3.0 | 6414 | 1.0049 | 0.5239 | |
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| 0.2567 | 4.0 | 8552 | 0.9978 | 0.5604 | |
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| 0.1409 | 5.0 | 10690 | 1.1607 | 0.5443 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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