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--- |
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license: apache-2.0 |
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base_model: distilbert/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: mental_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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# mental_classification |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.6424 |
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- Accuracy: 0.8623 |
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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: 16 |
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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: 14 |
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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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| 2.356 | 1.4046 | 184 | 1.6835 | 0.5908 | |
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| 1.2119 | 2.8092 | 368 | 1.1011 | 0.7648 | |
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| 0.6548 | 4.2137 | 552 | 0.8192 | 0.8241 | |
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| 0.3782 | 5.6183 | 736 | 0.6968 | 0.8375 | |
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| 0.1931 | 7.0229 | 920 | 0.6587 | 0.8528 | |
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| 0.1127 | 8.4275 | 1104 | 0.6390 | 0.8566 | |
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| 0.081 | 9.8321 | 1288 | 0.6382 | 0.8566 | |
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| 0.0532 | 11.2366 | 1472 | 0.6433 | 0.8623 | |
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| 0.0416 | 12.6412 | 1656 | 0.6424 | 0.8623 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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