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Training in progress, epoch 1

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  1. README.md +68 -0
  2. config.json +46 -0
  3. model.safetensors +3 -0
  4. run-0/checkpoint-1000/config.json +46 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: BAAI/bge-small-en-v1.5
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: dl2-ner
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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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+ # dl2-ner
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+
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+ This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0900
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+ - Precision: 0.9083
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+ - Recall: 0.9254
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+ - F1: 0.9168
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+ - Accuracy: 0.9820
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0209 | 1.0 | 1250 | 0.0883 | 0.9161 | 0.9283 | 0.9222 | 0.9826 |
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+ | 0.0138 | 2.0 | 2500 | 0.0900 | 0.9083 | 0.9254 | 0.9168 | 0.9820 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.50.0
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+ - Pytorch 2.11.0+cu128
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+ - Datasets 3.4.1
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+ - Tokenizers 0.21.4
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