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multilingual-clickbait-detector

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distilbert
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  1. README.md +68 -0
  2. config.json +34 -0
  3. model.safetensors +3 -0
  4. runs/Nov15_09-03-01_Ubuntu-2204-jammy-amd64-base/events.out.tfevents.1731661384.Ubuntu-2204-jammy-amd64-base.1035987.0 +3 -0
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  7. runs/Nov15_09-11-42_Ubuntu-2204-jammy-amd64-base/events.out.tfevents.1731661904.Ubuntu-2204-jammy-amd64-base.1035987.3 +3 -0
  8. runs/Nov15_09-11-42_Ubuntu-2204-jammy-amd64-base/events.out.tfevents.1731666522.Ubuntu-2204-jammy-amd64-base.1035987.4 +3 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-multilingual-cased
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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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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: multilingual-clickbait-detector
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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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+ # multilingual-clickbait-detector
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+
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+ This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1283
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+ - Accuracy: 0.9596
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+ - F1: 0.9619
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+ - Precision: 0.9581
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+ - Recall: 0.9658
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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: 64
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+ - eval_batch_size: 64
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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: 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 | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.0659 | 1.0 | 3787 | 0.1147 | 0.9627 | 0.9650 | 0.9576 | 0.9726 |
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+ | 0.0245 | 2.0 | 7574 | 0.1841 | 0.9637 | 0.9659 | 0.9588 | 0.9732 |
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+ | 0.0115 | 3.0 | 11361 | 0.2095 | 0.9645 | 0.9665 | 0.9651 | 0.9678 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "distilbert-base-multilingual-cased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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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": "non-clickbait",
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+ "1": "clickbait"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "clickbait": 1,
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+ "non-clickbait": 0
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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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+ "problem_type": "single_label_classification",
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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": "4.41.2",
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+ "vocab_size": 119547
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+ }
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