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End of training

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README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.5402
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- - F1-score: 0.9344
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  ## Model description
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@@ -42,32 +42,22 @@ The following hyperparameters were used during training:
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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: 20
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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 | 69 | 0.3134 | 0.9098 |
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- | No log | 2.0 | 138 | 0.4634 | 0.8843 |
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- | No log | 3.0 | 207 | 0.5135 | 0.9097 |
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- | No log | 4.0 | 276 | 0.4919 | 0.9179 |
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- | No log | 5.0 | 345 | 0.6858 | 0.8768 |
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- | No log | 6.0 | 414 | 0.8026 | 0.8843 |
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- | No log | 7.0 | 483 | 0.5402 | 0.9344 |
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- | 0.156 | 8.0 | 552 | 0.6149 | 0.9180 |
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- | 0.156 | 9.0 | 621 | 0.6310 | 0.9180 |
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- | 0.156 | 10.0 | 690 | 0.6423 | 0.9180 |
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- | 0.156 | 11.0 | 759 | 0.6514 | 0.9180 |
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- | 0.156 | 12.0 | 828 | 0.6594 | 0.9180 |
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- | 0.156 | 13.0 | 897 | 0.6656 | 0.9180 |
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- | 0.156 | 14.0 | 966 | 0.6712 | 0.9180 |
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- | 0.0 | 15.0 | 1035 | 0.6755 | 0.9180 |
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- | 0.0 | 16.0 | 1104 | 0.6792 | 0.9180 |
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- | 0.0 | 17.0 | 1173 | 0.6824 | 0.9180 |
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- | 0.0 | 18.0 | 1242 | 0.6844 | 0.9180 |
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- | 0.0 | 19.0 | 1311 | 0.6856 | 0.9180 |
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- | 0.0 | 20.0 | 1380 | 0.6861 | 0.9180 |
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  ### Framework versions
 
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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: 0.8012
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+ - F1-score: 0.9015
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  ## Model description
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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 | 69 | 0.4035 | 0.8588 |
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+ | No log | 2.0 | 138 | 0.8828 | 0.8415 |
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+ | No log | 3.0 | 207 | 0.7806 | 0.8415 |
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+ | No log | 4.0 | 276 | 0.7081 | 0.8678 |
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+ | No log | 5.0 | 345 | 0.6518 | 0.8851 |
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+ | No log | 6.0 | 414 | 0.9181 | 0.8601 |
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+ | No log | 7.0 | 483 | 0.9935 | 0.8681 |
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+ | 0.1537 | 8.0 | 552 | 0.8012 | 0.9015 |
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+ | 0.1537 | 9.0 | 621 | 0.8481 | 0.8849 |
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+ | 0.1537 | 10.0 | 690 | 0.8509 | 0.8849 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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