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Browse files- README.md +68 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert_finetune_classification
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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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# bert_finetune_classification
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1339
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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: 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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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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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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- lr_scheduler_warmup_steps: 30
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- num_epochs: 9
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0748 | 1.0 | 417 | 0.0957 |
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| 0.0517 | 2.0 | 834 | 0.0880 |
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| 0.0631 | 3.0 | 1251 | 0.0736 |
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| 0.0048 | 4.0 | 1669 | 0.0795 |
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| 0.0457 | 5.0 | 2086 | 0.0861 |
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| 0.0016 | 6.0 | 2503 | 0.1086 |
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| 0.0482 | 7.0 | 2920 | 0.1073 |
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| 0.0483 | 8.0 | 3338 | 0.1224 |
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| 0.0286 | 8.99 | 3753 | 0.1339 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.0.0+cu117
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 661033777
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version https://git-lfs.github.com/spec/v1
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size 661033777
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