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End of training

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README.md ADDED
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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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+
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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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+
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+ # dfm_ND
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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
runs/Jun12_09-17-19_b5487d1314f9/events.out.tfevents.1718195746.b5487d1314f9.813.3 ADDED
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+ size 411