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--- |
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license: apache-2.0 |
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base_model: casual/nlp_til2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: nlp_til3 |
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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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# nlp_til3 |
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This model is a fine-tuned version of [casual/nlp_til2](https://huggingface.co/casual/nlp_til2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0052 |
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- Precision: 0.9899 |
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- Recall: 0.9919 |
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- F1: 0.9909 |
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- Accuracy: 0.9983 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 219 | 0.0192 | 0.9571 | 0.9614 | 0.9592 | 0.9931 | |
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| No log | 2.0 | 438 | 0.0176 | 0.9607 | 0.9696 | 0.9652 | 0.9940 | |
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| 0.0238 | 3.0 | 657 | 0.0142 | 0.9702 | 0.9692 | 0.9697 | 0.9948 | |
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| 0.0238 | 4.0 | 876 | 0.0105 | 0.9764 | 0.9744 | 0.9754 | 0.9958 | |
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| 0.0201 | 5.0 | 1095 | 0.0093 | 0.9839 | 0.9804 | 0.9822 | 0.9969 | |
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| 0.0201 | 6.0 | 1314 | 0.0080 | 0.9832 | 0.9878 | 0.9855 | 0.9974 | |
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| 0.0147 | 7.0 | 1533 | 0.0078 | 0.9850 | 0.9858 | 0.9854 | 0.9975 | |
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| 0.0147 | 8.0 | 1752 | 0.0071 | 0.9835 | 0.9892 | 0.9863 | 0.9976 | |
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| 0.0147 | 9.0 | 1971 | 0.0053 | 0.9899 | 0.9911 | 0.9905 | 0.9983 | |
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| 0.0106 | 10.0 | 2190 | 0.0052 | 0.9899 | 0.9919 | 0.9909 | 0.9983 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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