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my-model-MiniLM-Area

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lBober/my-model-MiniLM-Area

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/May25_20-53-12_54438e66731d/events.out.tfevents.1716670392.54438e66731d.29584.0 +3 -0
  4. runs/May25_20-55-06_54438e66731d/events.out.tfevents.1716670506.54438e66731d.30229.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/Microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7970
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- - Accuracy: 0.2662
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- - F1: 0.1237
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- - Precision: 0.1887
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- - Recall: 0.2662
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  ## Model description
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@@ -44,8 +44,8 @@ More information needed
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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: 100
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- - eval_batch_size: 20
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 1.936 | 1.0 | 7 | 1.9121 | 0.2374 | 0.0911 | 0.0564 | 0.2374 |
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- | 1.8873 | 2.0 | 14 | 1.8516 | 0.2374 | 0.0911 | 0.0564 | 0.2374 |
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- | 1.843 | 3.0 | 21 | 1.8171 | 0.2662 | 0.1340 | 0.1492 | 0.2662 |
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- | 1.8229 | 4.0 | 28 | 1.8018 | 0.2662 | 0.1237 | 0.1887 | 0.2662 |
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- | 1.8163 | 5.0 | 35 | 1.7970 | 0.2662 | 0.1237 | 0.1887 | 0.2662 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/Microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5091
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+ - Accuracy: 0.4101
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+ - F1: 0.3008
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+ - Precision: 0.2560
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+ - Recall: 0.4101
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  ## Model description
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 1.8054 | 1.0 | 81 | 1.7186 | 0.3741 | 0.2567 | 0.2028 | 0.3741 |
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+ | 1.658 | 2.0 | 162 | 1.6347 | 0.3669 | 0.2477 | 0.1994 | 0.3669 |
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+ | 1.5442 | 3.0 | 243 | 1.5759 | 0.3957 | 0.2674 | 0.2039 | 0.3957 |
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+ | 1.465 | 4.0 | 324 | 1.5283 | 0.4388 | 0.3402 | 0.3001 | 0.4388 |
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+ | 1.3915 | 5.0 | 405 | 1.5091 | 0.4101 | 0.3008 | 0.2560 | 0.4101 |
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  ### Framework versions
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