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distilbert-v0

Token Classification
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distilbert
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distilber for tok classif

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  2. config.json +51 -0
  3. model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert/distilbert-base-cased
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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: distilbert-v0
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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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+ # distilbert-v0
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+
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+ This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.4249
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+ - Precision: 0.0860
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+ - Recall: 0.0883
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+ - F1: 0.0792
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+ - Accuracy: 0.1013
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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: 4
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+ - eval_batch_size: 4
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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 | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 29 | 2.3644 | 0.0657 | 0.0917 | 0.0241 | 0.1193 |
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+ | No log | 2.0 | 58 | 2.3651 | 0.0979 | 0.0925 | 0.0338 | 0.1195 |
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+ | No log | 3.0 | 87 | 2.3686 | 0.0742 | 0.0923 | 0.0498 | 0.1148 |
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+ | No log | 4.0 | 116 | 2.3718 | 0.0904 | 0.0918 | 0.0619 | 0.1132 |
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+ | No log | 5.0 | 145 | 2.3800 | 0.0893 | 0.0913 | 0.0758 | 0.1082 |
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+ | No log | 6.0 | 174 | 2.3946 | 0.0873 | 0.0915 | 0.0772 | 0.1070 |
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+ | No log | 7.0 | 203 | 2.4064 | 0.0864 | 0.0897 | 0.0780 | 0.1043 |
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+ | No log | 8.0 | 232 | 2.4165 | 0.0872 | 0.0888 | 0.0798 | 0.1019 |
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+ | No log | 9.0 | 261 | 2.4233 | 0.0860 | 0.0885 | 0.0778 | 0.1024 |
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+ | No log | 10.0 | 290 | 2.4249 | 0.0860 | 0.0883 | 0.0792 | 0.1013 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
config.json ADDED
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+ {
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+ "_name_or_path": "distilbert/distilbert-base-cased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForTokenClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "0",
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+ "1": "1",
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+ "2": "2",
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+ "3": "3",
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+ "9": "9",
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+ "10": "10"
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+ },
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+ "initializer_range": 0.02,
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+ "7": 7,
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+ "8": 8,
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+ "9": 9
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+ },
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.1",
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+ "vocab_size": 28996
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+ }
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