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End of training

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  1. README.md +69 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: sentence-transformers/all-MiniLM-L6-v2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: new_classifier_model
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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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+ # new_classifier_model
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+
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+ This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4181
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+ - Accuracy: 0.9193
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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: 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.5772 | 1.0 | 762 | 0.3256 | 0.9062 |
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+ | 0.2692 | 2.0 | 1524 | 0.3038 | 0.9163 |
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+ | 0.217 | 3.0 | 2286 | 0.3109 | 0.9180 |
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+ | 0.1773 | 4.0 | 3048 | 0.3160 | 0.9209 |
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+ | 0.1619 | 5.0 | 3810 | 0.3440 | 0.9206 |
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+ | 0.1329 | 6.0 | 4572 | 0.3675 | 0.9160 |
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+ | 0.1165 | 7.0 | 5334 | 0.3770 | 0.9209 |
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+ | 0.0943 | 8.0 | 6096 | 0.4012 | 0.9203 |
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+ | 0.085 | 9.0 | 6858 | 0.4166 | 0.9196 |
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+ | 0.0811 | 10.0 | 7620 | 0.4181 | 0.9193 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cpu
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+ - Datasets 2.14.7
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+ - Tokenizers 0.14.1
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