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  1. README.md +52 -0
  2. all_results.json +8 -0
  3. checkpoint-1000/config.json +42 -0
  4. checkpoint-1000/model.safetensors +3 -0
  5. checkpoint-1000/optimizer.pt +3 -0
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  47. checkpoint-500/config.json +42 -0
  48. checkpoint-500/model.safetensors +3 -0
  49. checkpoint-500/optimizer.pt +3 -0
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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: google-bert/bert-large-cased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results_4K
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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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+ # results_4K
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+
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+ This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-large-cased) 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: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 5.0
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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 4.39.0.dev0
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+ - Pytorch 2.1.2.post103
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+ - Datasets 2.19.1.dev0
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+ - Tokenizers 0.15.2
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+ "train_samples_per_second": 5.089,
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+ "train_steps_per_second": 0.636
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+ }
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