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--- |
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license: mit |
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base_model: microsoft/MiniLM-L12-H384-uncased |
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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: MiniLM_uncased_classification_tools_classifier-only_fr |
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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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# MiniLM_uncased_classification_tools_classifier-only_fr |
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0829 |
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- Accuracy: 0.075 |
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- Learning Rate: 0.0001 |
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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: 0.0001 |
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- train_batch_size: 24 |
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- eval_batch_size: 192 |
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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: 60 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Rate | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 7 | 2.0791 | 0.125 | 0.0001 | |
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| No log | 2.0 | 14 | 2.0797 | 0.075 | 0.0001 | |
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| No log | 3.0 | 21 | 2.0799 | 0.075 | 0.0001 | |
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| No log | 4.0 | 28 | 2.0804 | 0.075 | 0.0001 | |
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| No log | 5.0 | 35 | 2.0808 | 0.075 | 0.0001 | |
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| No log | 6.0 | 42 | 2.0813 | 0.075 | 9e-05 | |
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| No log | 7.0 | 49 | 2.0818 | 0.075 | 0.0001 | |
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| No log | 8.0 | 56 | 2.0820 | 0.075 | 0.0001 | |
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| No log | 9.0 | 63 | 2.0822 | 0.075 | 0.0001 | |
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| No log | 10.0 | 70 | 2.0827 | 0.075 | 0.0001 | |
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| No log | 11.0 | 77 | 2.0829 | 0.075 | 0.0001 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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