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--- |
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license: cc-by-nc-4.0 |
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base_model: Zamoranesis/mental_bert |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: mental_bert_classifier |
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results: [] |
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widget: The person seems obsessed with the signals he receives from the environment, always looking for hidden meanings behind the words and actions of others. |
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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_bert_classifier |
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This model is a fine-tuned version of [Zamoranesis/mental_bert](https://huggingface.co/Zamoranesis/mental_bert) on [hackathon-somos-nlp-2023/DiagTrast](https://huggingface.co/datasets/hackathon-somos-nlp-2023/DiagTrast). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2426 |
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- F1 Class 0: 0.8852 |
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- F1 Class 1: 0.9512 |
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- F1 Class 2: 0.8421 |
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- F1 Class 3: 0.8539 |
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- F1 Class 4: 0.9412 |
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- F1: 0.8947 |
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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: 0.005 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Class 0 | F1 Class 1 | F1 Class 2 | F1 Class 3 | F1 Class 4 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:----------:|:----------:|:----------:|:----------:|:------:| |
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| 0.7979 | 6.25 | 100 | 0.3557 | 0.8421 | 0.9512 | 0.8214 | 0.8889 | 0.9091 | 0.8825 | |
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| 0.2559 | 12.5 | 200 | 0.2823 | 0.9333 | 0.9412 | 0.8364 | 0.8602 | 0.9362 | 0.9015 | |
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| 0.1963 | 18.75 | 300 | 0.2610 | 0.9180 | 0.9756 | 0.7778 | 0.8352 | 0.9231 | 0.8859 | |
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| 0.1717 | 25.0 | 400 | 0.2534 | 0.9180 | 0.9630 | 0.8 | 0.8261 | 0.9412 | 0.8897 | |
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| 0.1511 | 31.25 | 500 | 0.2476 | 0.8667 | 0.9512 | 0.8148 | 0.8298 | 0.96 | 0.8845 | |
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| 0.1501 | 37.5 | 600 | 0.2513 | 0.9 | 0.9630 | 0.8 | 0.8261 | 0.9231 | 0.8824 | |
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| 0.1427 | 43.75 | 700 | 0.2581 | 0.9180 | 0.9756 | 0.8475 | 0.8810 | 0.8889 | 0.9022 | |
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| 0.1457 | 50.0 | 800 | 0.2428 | 0.8852 | 0.9512 | 0.8 | 0.8261 | 0.92 | 0.8765 | |
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| 0.1311 | 56.25 | 900 | 0.2462 | 0.9 | 0.9512 | 0.8 | 0.8352 | 0.9231 | 0.8819 | |
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| 0.1346 | 62.5 | 1000 | 0.2426 | 0.8852 | 0.9512 | 0.8421 | 0.8539 | 0.9412 | 0.8947 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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