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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: 0.2748 |
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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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| 0.9063 | 0.25 | 500 | 0.4845 | |
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| 0.3362 | 0.5 | 1000 | 0.3492 | |
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| 0.2759 | 0.75 | 1500 | 0.2819 | |
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| 0.2521 | 1.0 | 2000 | 0.2464 | |
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| 0.1705 | 1.25 | 2500 | 0.2345 | |
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| 0.1841 | 1.5 | 3000 | 0.2013 | |
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| 0.1428 | 1.75 | 3500 | 0.1926 | |
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| 0.1747 | 2.0 | 4000 | 0.1866 | |
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| 0.1082 | 2.25 | 4500 | 0.2302 | |
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| 0.1142 | 2.5 | 5000 | 0.2118 | |
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| 0.1205 | 2.75 | 5500 | 0.2318 | |
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| 0.1135 | 3.0 | 6000 | 0.2306 | |
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| 0.0803 | 3.25 | 6500 | 0.2625 | |
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| 0.0745 | 3.5 | 7000 | 0.2850 | |
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| 0.085 | 3.75 | 7500 | 0.2719 | |
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| 0.0701 | 4.0 | 8000 | 0.2748 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.10.3 |
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