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smartphone_60_ver6

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  1. README.md +53 -0
  2. model.safetensors +3 -0
  3. runs/Dec12_15-23-17_cx204/events.out.tfevents.1733984599.cx204 +3 -0
  4. runs/Dec18_05-17-38_cx053/events.out.tfevents.1734466659.cx053 +3 -0
  5. runs/Dec18_05-17-38_cx209/events.out.tfevents.1734466659.cx209 +3 -0
  6. runs/Dec24_10-46-17_cx051/events.out.tfevents.1735004779.cx051 +3 -0
  7. runs/Dec24_10-58-38_cx052/events.out.tfevents.1735005519.cx052 +3 -0
  8. runs/Dec24_11-11-07_cx053/events.out.tfevents.1735006268.cx053 +3 -0
  9. runs/Dec24_11-19-24_cx052/events.out.tfevents.1735006765.cx052 +3 -0
  10. runs/Dec26_16-23-14_cx193/events.out.tfevents.1735197798.cx193 +0 -0
  11. runs/Jan09_09-07-33_cx214/events.out.tfevents.1736381255.cx214 +3 -0
  12. runs/Jan09_09-31-45_cx214/events.out.tfevents.1736382706.cx214 +3 -0
  13. runs/Jan10_11-35-33_cx051/events.out.tfevents.1736476535.cx051 +3 -0
  14. runs/Jan10_11-54-34_cx053/events.out.tfevents.1736477676.cx053 +3 -0
  15. runs/Jan10_20-55-00_cx051/events.out.tfevents.1736510102.cx051 +3 -0
  16. runs/Jan10_21-12-16_cx051/events.out.tfevents.1736511137.cx051 +3 -0
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  19. runs/Jan10_22-08-31_cx051/events.out.tfevents.1736514513.cx051 +3 -0
  20. runs/Jan10_22-14-56_cx051/events.out.tfevents.1736514897.cx051 +3 -0
  21. runs/Jan10_22-20-05_cx051/events.out.tfevents.1736515207.cx051 +3 -0
  22. 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: tohoku-nlp/bert-base-japanese-v3
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: smartphone_60_ver6
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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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+ # smartphone_60_ver6
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+
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+ This model is a fine-tuned version of [tohoku-nlp/bert-base-japanese-v3](https://huggingface.co/tohoku-nlp/bert-base-japanese-v3) on an unknown dataset.
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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: 128
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+ - eval_batch_size: 128
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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: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.0
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+ - Pytorch 2.2.1+cu118
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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