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--- |
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license: apache-2.0 |
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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: SMM-classifier-1 |
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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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# SMM-classifier-1 |
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This model is a fine-tuned version of [Kuaaangwen/bert-base-cased-finetuned-chemistry](https://huggingface.co/Kuaaangwen/bert-base-cased-finetuned-chemistry) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5506 |
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- Accuracy: 0.8333 |
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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: 5e-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: 10 |
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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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| No log | 1.0 | 7 | 0.2044 | 0.8333 | |
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| No log | 2.0 | 14 | 0.3574 | 0.8333 | |
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| No log | 3.0 | 21 | 0.1551 | 0.8333 | |
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| No log | 4.0 | 28 | 0.9122 | 0.8333 | |
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| No log | 5.0 | 35 | 0.9043 | 0.8333 | |
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| No log | 6.0 | 42 | 0.7262 | 0.8333 | |
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| No log | 7.0 | 49 | 0.5977 | 0.8333 | |
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| No log | 8.0 | 56 | 0.5567 | 0.8333 | |
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| No log | 9.0 | 63 | 0.5484 | 0.8333 | |
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| No log | 10.0 | 70 | 0.5506 | 0.8333 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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