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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: 2.5873 |
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- Accuracy: 0.1544 |
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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: 2.5 |
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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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| 2.6964 | 0.16 | 60 | 2.6756 | 0.0834 | |
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| 2.6947 | 0.31 | 120 | 2.6670 | 0.0947 | |
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| 2.6716 | 0.47 | 180 | 2.6428 | 0.1139 | |
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| 2.6315 | 0.63 | 240 | 2.6252 | 0.1268 | |
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| 2.6113 | 0.79 | 300 | 2.6205 | 0.1310 | |
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| 2.5936 | 0.94 | 360 | 2.6137 | 0.1293 | |
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| 2.5298 | 1.1 | 420 | 2.6065 | 0.1381 | |
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| 2.4691 | 1.26 | 480 | 2.6097 | 0.1452 | |
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| 2.4645 | 1.42 | 540 | 2.6015 | 0.1519 | |
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| 2.4404 | 1.57 | 600 | 2.5912 | 0.1414 | |
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| 2.4435 | 1.73 | 660 | 2.5890 | 0.1464 | |
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| 2.4425 | 1.89 | 720 | 2.5928 | 0.1514 | |
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| 2.4038 | 2.05 | 780 | 2.5880 | 0.1481 | |
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| 2.2601 | 2.2 | 840 | 2.5941 | 0.1423 | |
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| 2.2858 | 2.36 | 900 | 2.5873 | 0.1544 | |
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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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