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--- |
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base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align |
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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-exp2-no-lang-align](https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1062 |
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- F1-score: 0.9886 |
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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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| 0.3693 | 1.0 | 1057 | 0.5857 | 0.7432 | |
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| 0.1394 | 2.0 | 2114 | 0.1865 | 0.9538 | |
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| 0.0763 | 3.0 | 3171 | 0.2028 | 0.9537 | |
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| 0.0321 | 4.0 | 4228 | 0.1507 | 0.9759 | |
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| 0.0262 | 5.0 | 5285 | 0.1757 | 0.9752 | |
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| 0.0187 | 6.0 | 6342 | 0.1567 | 0.9786 | |
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| 0.0145 | 7.0 | 7399 | 0.1145 | 0.9846 | |
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| 0.002 | 8.0 | 8456 | 0.1090 | 0.9873 | |
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| 0.0039 | 9.0 | 9513 | 0.1237 | 0.9866 | |
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| 0.0036 | 10.0 | 10570 | 0.1062 | 0.9886 | |
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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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