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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: 2.5779 |
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- Accuracy: 0.2597 |
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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-05 |
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- train_batch_size: 20 |
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- eval_batch_size: 10 |
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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: 1.0 |
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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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| No log | 0.09 | 200 | 2.6170 | 0.2412 | |
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| No log | 0.19 | 400 | 2.6193 | 0.2412 | |
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| No log | 0.28 | 600 | 2.6109 | 0.2519 | |
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| No log | 0.37 | 800 | 2.5937 | 0.2551 | |
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| No log | 0.47 | 1000 | 2.5840 | 0.2607 | |
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| No log | 0.56 | 1200 | 2.5814 | 0.2620 | |
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| No log | 0.66 | 1400 | 2.5889 | 0.2535 | |
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| No log | 0.75 | 1600 | 2.5779 | 0.2595 | |
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| No log | 0.84 | 1800 | 2.5752 | 0.2622 | |
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| 2.4849 | 0.94 | 2000 | 2.5779 | 0.2597 | |
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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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