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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: google-bert/bert-base-uncased |
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model-index: |
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- name: model |
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results: [] |
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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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# model |
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 2.1211 |
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- eval_accuracy: 0.6112 |
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- eval_precision: 0.5704 |
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- eval_recall: 0.5609 |
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- eval_f1: 0.5599 |
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- eval_runtime: 16.4845 |
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- eval_samples_per_second: 26.995 |
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- eval_steps_per_second: 3.397 |
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- step: 0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 0 |
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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: 20 |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.4.0.dev20240427 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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