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--- |
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base_model: jiangg/chembert_cased |
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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-textCLS-RHEOLOGY |
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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-textCLS-RHEOLOGY |
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This model is a fine-tuned version of [jiangg/chembert_cased](https://huggingface.co/jiangg/chembert_cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6766 |
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- F1: 0.7253 |
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- Precision: 0.7446 |
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- Recall: 0.7407 |
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- Accuracy: 0.7407 |
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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: 32 |
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- eval_batch_size: 32 |
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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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| 1.2479 | 1.0 | 46 | 0.9758 | 0.6185 | 0.5919 | 0.6605 | 0.6605 | |
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| 0.8039 | 2.0 | 92 | 0.7210 | 0.7277 | 0.7472 | 0.7407 | 0.7407 | |
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| 0.5982 | 3.0 | 138 | 0.6766 | 0.7253 | 0.7446 | 0.7407 | 0.7407 | |
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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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