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--- |
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license: mit |
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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: mini_text_classification_finetune_model |
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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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# mini_text_classification_finetune_model |
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This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2095 |
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- Accuracy: 0.3333 |
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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: 30 |
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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 | 1 | 1.3045 | 0.3333 | |
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| No log | 2.0 | 2 | 1.2998 | 0.3333 | |
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| No log | 3.0 | 3 | 1.2947 | 0.3333 | |
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| No log | 4.0 | 4 | 1.2899 | 0.3333 | |
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| No log | 5.0 | 5 | 1.2851 | 0.3333 | |
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| No log | 6.0 | 6 | 1.2809 | 0.3333 | |
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| No log | 7.0 | 7 | 1.2766 | 0.3333 | |
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| No log | 8.0 | 8 | 1.2721 | 0.3333 | |
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| No log | 9.0 | 9 | 1.2684 | 0.3333 | |
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| No log | 10.0 | 10 | 1.2645 | 0.3333 | |
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| No log | 11.0 | 11 | 1.2607 | 0.3333 | |
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| No log | 12.0 | 12 | 1.2567 | 0.3333 | |
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| No log | 13.0 | 13 | 1.2528 | 0.3333 | |
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| No log | 14.0 | 14 | 1.2490 | 0.3333 | |
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| No log | 15.0 | 15 | 1.2451 | 0.3333 | |
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| No log | 16.0 | 16 | 1.2413 | 0.3333 | |
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| No log | 17.0 | 17 | 1.2377 | 0.3333 | |
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| No log | 18.0 | 18 | 1.2342 | 0.3333 | |
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| No log | 19.0 | 19 | 1.2307 | 0.3333 | |
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| No log | 20.0 | 20 | 1.2275 | 0.3333 | |
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| No log | 21.0 | 21 | 1.2244 | 0.3333 | |
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| No log | 22.0 | 22 | 1.2215 | 0.3333 | |
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| No log | 23.0 | 23 | 1.2190 | 0.3333 | |
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| No log | 24.0 | 24 | 1.2167 | 0.3333 | |
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| No log | 25.0 | 25 | 1.2147 | 0.3333 | |
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| No log | 26.0 | 26 | 1.2130 | 0.3333 | |
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| No log | 27.0 | 27 | 1.2116 | 0.3333 | |
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| No log | 28.0 | 28 | 1.2105 | 0.3333 | |
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| No log | 29.0 | 29 | 1.2098 | 0.3333 | |
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| No log | 30.0 | 30 | 1.2095 | 0.3333 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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