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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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model-index: |
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- name: midjourney-rank |
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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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# midjourney-rank |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0509 |
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- Mse: 0.0509 |
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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: 32 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mse | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.061 | 0.34 | 100 | 0.0565 | 0.0565 | |
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| 0.0544 | 0.67 | 200 | 0.0562 | 0.0562 | |
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| 0.0585 | 1.01 | 300 | 0.0509 | 0.0509 | |
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| 0.0508 | 1.34 | 400 | 0.0523 | 0.0523 | |
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| 0.0508 | 1.68 | 500 | 0.0518 | 0.0518 | |
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| 0.0465 | 2.01 | 600 | 0.0509 | 0.0509 | |
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| 0.0449 | 2.35 | 700 | 0.0526 | 0.0526 | |
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| 0.0398 | 2.68 | 800 | 0.0509 | 0.0509 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Tokenizers 0.13.3 |
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