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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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- accuracy |
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model-index: |
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- name: office-character |
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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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# office-character |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7752 |
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- Accuracy: 0.1429 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.8784 | 0.2 | 60 | 2.8602 | 0.0807 | |
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| 2.8535 | 0.4 | 120 | 2.8465 | 0.0971 | |
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| 2.8292 | 0.6 | 180 | 2.8197 | 0.1004 | |
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| 2.7971 | 0.8 | 240 | 2.8041 | 0.1037 | |
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| 2.7996 | 1.0 | 300 | 2.7861 | 0.1227 | |
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| 2.668 | 1.2 | 360 | 2.7832 | 0.1288 | |
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| 2.6317 | 1.4 | 420 | 2.7636 | 0.1309 | |
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| 2.6236 | 1.59 | 480 | 2.7676 | 0.1315 | |
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| 2.571 | 1.79 | 540 | 2.7519 | 0.1326 | |
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| 2.5832 | 1.99 | 600 | 2.7572 | 0.1358 | |
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| 2.3685 | 2.19 | 660 | 2.7616 | 0.1484 | |
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| 2.376 | 2.39 | 720 | 2.7727 | 0.1429 | |
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| 2.3499 | 2.59 | 780 | 2.7808 | 0.1391 | |
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| 2.3561 | 2.79 | 840 | 2.7736 | 0.1451 | |
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| 2.3265 | 2.99 | 900 | 2.7752 | 0.1429 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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