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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: skt/A.X-Encoder-base |
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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: hello_classification |
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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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# hello_classification |
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This model is a fine-tuned version of [skt/A.X-Encoder-base](https://huggingface.co/skt/A.X-Encoder-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0077 |
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- Precision: 1.0 |
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- Recall: 0.9919 |
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- F1: 0.9959 |
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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: 128 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 25 |
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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 | 73 | 0.0225 | 0.9770 | 0.9860 | 0.9815 | 0.9931 | |
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| No log | 2.0 | 146 | 0.0194 | 0.9858 | 0.9721 | 0.9789 | 0.9923 | |
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| No log | 3.0 | 219 | 0.0147 | 0.9907 | 0.9860 | 0.9883 | 0.9957 | |
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| No log | 4.0 | 292 | 0.0182 | 0.9907 | 0.9907 | 0.9907 | 0.9966 | |
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| No log | 5.0 | 365 | 0.0144 | 0.9907 | 0.9860 | 0.9883 | 0.9957 | |
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| No log | 6.0 | 438 | 0.0139 | 0.9907 | 0.9860 | 0.9883 | 0.9957 | |
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| 0.0144 | 7.0 | 511 | 0.0207 | 0.9907 | 0.9860 | 0.9883 | 0.9957 | |
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| 0.0144 | 8.0 | 584 | 0.0183 | 0.9906 | 0.9814 | 0.9860 | 0.9948 | |
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### Framework versions |
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- Transformers 4.51.0 |
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- Pytorch 2.7.0+cu126 |
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- Tokenizers 0.21.2 |
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