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--- |
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license: apache-2.0 |
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base_model: bert-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: Raffel_bert_emotion_classification |
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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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# Raffel_bert_emotion_classification |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3423 |
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- Accuracy: 0.9596 |
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I train this model from kaggle dataset, you can access the dataset via this link : https://www.kaggle.com/datasets/abdallahwagih/emotion-dataset |
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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: 4e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 20 |
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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 | 1.0 | 167 | 0.1212 | 0.9579 | |
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| No log | 2.0 | 334 | 0.1362 | 0.9596 | |
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| 0.1622 | 3.0 | 501 | 0.2034 | 0.9596 | |
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| 0.1622 | 4.0 | 668 | 0.2035 | 0.9630 | |
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| 0.1622 | 5.0 | 835 | 0.2153 | 0.9630 | |
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| 0.017 | 6.0 | 1002 | 0.2010 | 0.9613 | |
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| 0.017 | 7.0 | 1169 | 0.2718 | 0.9579 | |
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| 0.017 | 8.0 | 1336 | 0.2641 | 0.9613 | |
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| 0.0099 | 9.0 | 1503 | 0.2524 | 0.9613 | |
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| 0.0099 | 10.0 | 1670 | 0.2918 | 0.9579 | |
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| 0.0099 | 11.0 | 1837 | 0.2749 | 0.9562 | |
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| 0.0029 | 12.0 | 2004 | 0.3133 | 0.9562 | |
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| 0.0029 | 13.0 | 2171 | 0.2952 | 0.9579 | |
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| 0.0029 | 14.0 | 2338 | 0.3334 | 0.9596 | |
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| 0.0022 | 15.0 | 2505 | 0.3286 | 0.9596 | |
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| 0.0022 | 16.0 | 2672 | 0.3340 | 0.9596 | |
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| 0.0022 | 17.0 | 2839 | 0.3344 | 0.9596 | |
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| 0.0013 | 18.0 | 3006 | 0.3395 | 0.9596 | |
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| 0.0013 | 19.0 | 3173 | 0.3423 | 0.9596 | |
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| 0.0013 | 20.0 | 3340 | 0.3423 | 0.9596 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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