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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: 2.3478 |
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- Accuracy: 0.3247 |
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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: 3.3e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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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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| 2.4973 | 0.18 | 200 | 2.4079 | 0.3173 | |
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| 2.4484 | 0.36 | 400 | 2.4126 | 0.3077 | |
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| 2.398 | 0.54 | 600 | 2.3910 | 0.314 | |
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| 2.4151 | 0.72 | 800 | 2.3812 | 0.317 | |
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| 2.3982 | 0.9 | 1000 | 2.3672 | 0.327 | |
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| 2.3402 | 1.08 | 1200 | 2.3622 | 0.3263 | |
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| 2.3362 | 1.26 | 1400 | 2.3591 | 0.3253 | |
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| 2.3865 | 1.43 | 1600 | 2.3641 | 0.3177 | |
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| 2.3623 | 1.61 | 1800 | 2.3553 | 0.3253 | |
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| 2.3528 | 1.79 | 2000 | 2.3576 | 0.3213 | |
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| 2.3225 | 1.97 | 2200 | 2.3488 | 0.3257 | |
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| 2.342 | 2.15 | 2400 | 2.3486 | 0.326 | |
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| 2.3279 | 2.33 | 2600 | 2.3588 | 0.3197 | |
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| 2.3177 | 2.51 | 2800 | 2.3472 | 0.3217 | |
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| 2.3509 | 2.69 | 3000 | 2.3483 | 0.3273 | |
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| 2.325 | 2.87 | 3200 | 2.3478 | 0.3247 | |
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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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