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--- |
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license: apache-2.0 |
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base_model: google-bert/bert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: my_awesome_bert_mlm_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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# my_awesome_bert_mlm_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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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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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- 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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.6177 | 1.0 | 2495 | nan | |
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| 0.4897 | 2.0 | 4990 | nan | |
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| 0.52 | 3.0 | 7485 | nan | |
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| 0.4819 | 4.0 | 9980 | nan | |
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| 0.4579 | 5.0 | 12475 | nan | |
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| 0.4826 | 6.0 | 14970 | nan | |
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| 0.4627 | 7.0 | 17465 | nan | |
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| 0.4844 | 8.0 | 19960 | nan | |
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| 0.372 | 9.0 | 22455 | nan | |
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| 0.4473 | 10.0 | 24950 | nan | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Tokenizers 0.19.1 |
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