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bert-platform-classifier

Text Classification
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bert
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text-embeddings-inference
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  1. README.md +70 -0
  2. config.json +36 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-uncased
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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: bert-platform-classifier
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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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+ # bert-platform-classifier
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+
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+ This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3393
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+ - Accuracy: 0.906
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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: 0.0002
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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_FUSED 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: 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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+ | 0.4065 | 1.0 | 2534 | 0.3199 | 0.906 |
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+ | 0.3902 | 2.0 | 5068 | 0.4198 | 0.906 |
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+ | 0.3829 | 3.0 | 7602 | 0.3636 | 0.906 |
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+ | 0.3835 | 4.0 | 10136 | 0.3555 | 0.906 |
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+ | 0.3816 | 5.0 | 12670 | 0.3971 | 0.906 |
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+ | 0.3737 | 6.0 | 15204 | 0.3263 | 0.906 |
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+ | 0.3684 | 7.0 | 17738 | 0.3347 | 0.906 |
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+ | 0.3621 | 8.0 | 20272 | 0.3378 | 0.906 |
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+ | 0.3607 | 9.0 | 22806 | 0.3670 | 0.906 |
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+ | 0.3664 | 10.0 | 25340 | 0.3393 | 0.906 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.1
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+ - Pytorch 2.8.0+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.1
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+ "BertForSequenceClassification"
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "gardening",
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+ "1": "furniture",
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+ "2": "e-commerce"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "e-commerce": 2,
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+ "furniture": 1,
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+ "gardening": 0
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "transformers_version": "4.57.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ }
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