End of training
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README.md
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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: 2.3281
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- Accuracy: 0.339
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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: 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: 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 | 100 | 2.5032 | 0.3117 |
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| No log | 0.18 | 200 | 2.4405 | 0.315 |
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| No log | 0.27 | 300 | 2.4370 | 0.319 |
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| No log | 0.36 | 400 | 2.4321 | 0.322 |
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| 2.5244 | 0.45 | 500 | 2.3951 | 0.3087 |
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| 2.5244 | 0.54 | 600 | 2.3907 | 0.3207 |
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| 2.5244 | 0.63 | 700 | 2.3612 | 0.321 |
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| 2.5244 | 0.72 | 800 | 2.3521 | 0.3293 |
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| 2.5244 | 0.81 | 900 | 2.3339 | 0.3327 |
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| 2.417 | 0.9 | 1000 | 2.3318 | 0.3323 |
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| 2.417 | 0.99 | 1100 | 2.3281 | 0.339 |
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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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