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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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- f1 |
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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: 2.4745 |
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- Accuracy: 0.1565 |
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- F1: 0.1477 |
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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: 20 |
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- eval_batch_size: 20 |
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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: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 2.5676 | 0.26 | 100 | 2.5803 | 0.0774 | 0.0111 | |
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| 2.5531 | 0.51 | 200 | 2.5176 | 0.1252 | 0.0967 | |
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| 2.5032 | 0.77 | 300 | 2.4914 | 0.1322 | 0.1155 | |
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| 2.4291 | 1.03 | 400 | 2.4709 | 0.1391 | 0.1223 | |
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| 2.2983 | 1.28 | 500 | 2.4680 | 0.1504 | 0.1415 | |
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| 2.2439 | 1.54 | 600 | 2.4774 | 0.1478 | 0.1415 | |
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| 2.1867 | 1.79 | 700 | 2.4745 | 0.1565 | 0.1477 | |
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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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