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--- |
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license: mit |
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base_model: KennethEnevoldsen/dfm-sentence-encoder-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: dfm_ND |
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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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# dfm_ND |
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This model is a fine-tuned version of [KennethEnevoldsen/dfm-sentence-encoder-large](https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4530 |
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- F1-score: 0.8129 |
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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: 8 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1-score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 223 | 0.4530 | 0.8129 | |
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| No log | 2.0 | 446 | 0.5402 | 0.7001 | |
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| 0.4792 | 3.0 | 669 | 0.5906 | 0.6259 | |
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| 0.4792 | 4.0 | 892 | 0.5939 | 0.6259 | |
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| 0.5915 | 5.0 | 1115 | 0.5770 | 0.6259 | |
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| 0.5915 | 6.0 | 1338 | 0.5759 | 0.6259 | |
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| 0.5876 | 7.0 | 1561 | 0.5758 | 0.6259 | |
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| 0.5876 | 8.0 | 1784 | 0.5800 | 0.6333 | |
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| 0.5821 | 9.0 | 2007 | 0.5794 | 0.6259 | |
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| 0.5821 | 10.0 | 2230 | 0.5727 | 0.6333 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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