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--- |
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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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- f1 |
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model-index: |
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- name: mental-bert-base-uncased-masked_finetuned-0517 |
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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-bert-base-uncased-masked_finetuned-0517 |
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This model is a fine-tuned version of [mental/mental-bert-base-uncased](https://huggingface.co/mental/mental-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: 0.5217 |
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- Accuracy: 0.917 |
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- F1: 0.9171 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 3000 | 0.2922 | 0.8993 | 0.8997 | |
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| No log | 2.0 | 6000 | 0.3964 | 0.9063 | 0.9069 | |
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| No log | 3.0 | 9000 | 0.4456 | 0.9197 | 0.9197 | |
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| No log | 4.0 | 12000 | 0.5217 | 0.917 | 0.9171 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.9.0 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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