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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-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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+ model-index:
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+ - name: distilbert-base-multilingual-cased-on-custom-kural-500
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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-base-multilingual-cased-on-custom-kural-500
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4608
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+ - Accuracy: 0.91
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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: 5e-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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+ | No log | 1.0 | 25 | 0.2557 | 0.89 |
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+ | No log | 2.0 | 50 | 0.5950 | 0.79 |
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+ | No log | 3.0 | 75 | 0.1989 | 0.92 |
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+ | No log | 4.0 | 100 | 0.4856 | 0.89 |
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+ | No log | 5.0 | 125 | 0.4785 | 0.89 |
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+ | No log | 6.0 | 150 | 0.4426 | 0.91 |
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+ | No log | 7.0 | 175 | 0.4699 | 0.9 |
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+ | No log | 8.0 | 200 | 0.4488 | 0.92 |
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+ | No log | 9.0 | 225 | 0.4552 | 0.92 |
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+ | No log | 10.0 | 250 | 0.4608 | 0.91 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.2
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+ {
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+ "DistilBertForSequenceClassification"
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.39.2",
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+ "vocab_size": 119547
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+ }
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