End of training
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README.md
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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_NCS
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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_NCS
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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: 0.4472
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- F1-score: 0.8111
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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: 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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| 0.493 | 1.0 | 504 | 0.4472 | 0.8111 |
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| 0.349 | 2.0 | 1008 | 0.5058 | 0.8008 |
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| 0.1692 | 3.0 | 1512 | 0.8419 | 0.7978 |
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| 0.0965 | 4.0 | 2016 | 1.2206 | 0.7873 |
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| 0.0318 | 5.0 | 2520 | 1.5007 | 0.7884 |
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| 0.0193 | 6.0 | 3024 | 1.6686 | 0.7958 |
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| 0.0085 | 7.0 | 3528 | 1.8701 | 0.7901 |
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| 0.0075 | 8.0 | 4032 | 1.8387 | 0.7957 |
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| 0.0057 | 9.0 | 4536 | 1.8554 | 0.7996 |
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| 0.0006 | 10.0 | 5040 | 1.8654 | 0.7999 |
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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 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Jul05_07-53-01_28098a3c291d/events.out.tfevents.1720177746.28098a3c291d.963.1
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