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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: message-tone |
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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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# message-tone |
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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: 0.2719 |
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- Accuracy: 0.9197 |
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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: 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 | 0.11 | 100 | 0.3326 | 0.903 | |
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| No log | 0.21 | 200 | 0.3056 | 0.9087 | |
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| No log | 0.32 | 300 | 0.2854 | 0.9153 | |
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| No log | 0.43 | 400 | 0.2846 | 0.9153 | |
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| 0.3712 | 0.53 | 500 | 0.2808 | 0.9177 | |
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| 0.3712 | 0.64 | 600 | 0.2769 | 0.9187 | |
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| 0.3712 | 0.75 | 700 | 0.2781 | 0.9187 | |
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| 0.3712 | 0.85 | 800 | 0.2740 | 0.9197 | |
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| 0.3712 | 0.96 | 900 | 0.2719 | 0.9197 | |
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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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