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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- emotion |
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model-index: |
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- name: bert_emo_classifier |
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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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# bert_emo_classifier |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the emotion dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2652 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8874 | 0.25 | 500 | 0.4256 | |
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| 0.3255 | 0.5 | 1000 | 0.3233 | |
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| 0.2754 | 0.75 | 1500 | 0.2736 | |
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| 0.242 | 1.0 | 2000 | 0.2263 | |
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| 0.1661 | 1.25 | 2500 | 0.2118 | |
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| 0.1614 | 1.5 | 3000 | 0.1812 | |
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| 0.1434 | 1.75 | 3500 | 0.1924 | |
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| 0.1629 | 2.0 | 4000 | 0.1766 | |
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| 0.1066 | 2.25 | 4500 | 0.2100 | |
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| 0.1313 | 2.5 | 5000 | 0.1996 | |
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| 0.1113 | 2.75 | 5500 | 0.2185 | |
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| 0.115 | 3.0 | 6000 | 0.2406 | |
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| 0.0697 | 3.25 | 6500 | 0.2485 | |
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| 0.0835 | 3.5 | 7000 | 0.2391 | |
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| 0.0637 | 3.75 | 7500 | 0.2695 | |
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| 0.0707 | 4.0 | 8000 | 0.2652 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.10.3 |
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