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--- |
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base_model: jonas-luehrs/chembert_cased-MLM-chemistry |
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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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- precision |
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- recall |
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- accuracy |
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model-index: |
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- name: chembert_cased-MLM-chemistry-textCLS-PETROCHEMICAL |
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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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# chembert_cased-MLM-chemistry-textCLS-PETROCHEMICAL |
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This model is a fine-tuned version of [jonas-luehrs/chembert_cased-MLM-chemistry](https://huggingface.co/jonas-luehrs/chembert_cased-MLM-chemistry) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5883 |
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- F1: 0.7662 |
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- Precision: 0.7616 |
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- Recall: 0.7838 |
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- Accuracy: 0.7838 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:| |
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| 1.1285 | 1.0 | 125 | 0.7318 | 0.7165 | 0.7123 | 0.7297 | 0.7297 | |
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| 0.6049 | 2.0 | 250 | 0.6196 | 0.7524 | 0.7483 | 0.7703 | 0.7703 | |
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| 0.4449 | 3.0 | 375 | 0.5883 | 0.7662 | 0.7616 | 0.7838 | 0.7838 | |
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### Framework versions |
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- Transformers 4.33.2 |
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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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