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Text Classification
Transformers
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Safetensors
bert
LMH
10_class
multi_labels
Generated from Trainer
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Jipumpkin

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  1. README.md +66 -0
  2. config.json +56 -0
  3. model.safetensors +3 -0
  4. runs/Oct08_11-08-37_Jipmupkin/events.out.tfevents.1728353318.Jipmupkin.29048.0 +3 -0
  5. runs/Oct08_11-13-02_Jipmupkin/events.out.tfevents.1728353583.Jipmupkin.29048.1 +3 -0
  6. runs/Oct08_11-13-28_Jipmupkin/events.out.tfevents.1728353611.Jipmupkin.29048.2 +3 -0
  7. runs/Oct08_11-14-34_Jipmupkin/events.out.tfevents.1728353675.Jipmupkin.25972.0 +3 -0
  8. runs/Oct08_11-30-25_Jipmupkin/events.out.tfevents.1728354626.Jipmupkin.29048.3 +3 -0
  9. runs/Oct08_11-31-19_Jipmupkin/events.out.tfevents.1728354679.Jipmupkin.29048.4 +3 -0
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  15. runs/Oct08_11-44-41_Jipmupkin/events.out.tfevents.1728355482.Jipmupkin.12692.0 +3 -0
  16. special_tokens_map.json +7 -0
  17. tokenizer.json +0 -0
  18. tokenizer_config.json +57 -0
  19. training_args.bin +3 -0
  20. vocab.txt +0 -0
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: beomi/kcbert-base
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+ tags:
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+ - LMH
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+ - 10_class
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+ - multi_labels
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+ - generated_from_trainer
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+ model-index:
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+ - name: 1008model
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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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+ # 1008model
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+
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+ This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the unsmile_data dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1297
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+ - Lrap: 0.8807
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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: 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 | Lrap |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 235 | 0.1495 | 0.8542 |
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+ | No log | 2.0 | 470 | 0.1345 | 0.8655 |
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+ | 0.1725 | 3.0 | 705 | 0.1247 | 0.8818 |
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+ | 0.1725 | 4.0 | 940 | 0.1284 | 0.8790 |
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+ | 0.0802 | 5.0 | 1175 | 0.1297 | 0.8807 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu118
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+ - Datasets 3.0.1
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+ - Tokenizers 0.19.1
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+ "8": "LABEL_8",
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+ "layer_norm_eps": 1e-12,
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+ "problem_type": "multi_label_classification",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 2,
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