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End of training

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README.md ADDED
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+ ---
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+ license: cc-by-sa-4.0
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+ base_model: klue/bert-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: bert-base-finetuned-ynat
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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-base-finetuned-ynat
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+
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+ This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3745
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+ - F1: 0.8704
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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: 256
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+ - eval_batch_size: 256
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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: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 179 | 0.3909 | 0.8655 |
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+ | No log | 2.0 | 358 | 0.3788 | 0.8684 |
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+ | 0.3774 | 3.0 | 537 | 0.3629 | 0.8699 |
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+ | 0.3774 | 4.0 | 716 | 0.3776 | 0.8667 |
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+ | 0.3774 | 5.0 | 895 | 0.3745 | 0.8704 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ {
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+ "_name_or_path": "klue/bert-base",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "hidden_act": "gelu",
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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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+ "problem_type": "single_label_classification",
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+ "type_vocab_size": 2,
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+ }
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