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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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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: tiny-mlm-imdb-target-conll2003
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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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# tiny-mlm-imdb-target-conll2003
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This model is a fine-tuned version of [muhtasham/small-mlm-wikitext](https://huggingface.co/muhtasham/small-mlm-wikitext) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1138
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- Precision: 0.8869
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- Recall: 0.9189
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- F1: 0.9026
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- Accuracy: 0.9777
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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: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: constant
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- training_steps: 5000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.2197 | 1.14 | 500 | 0.0926 | 0.8440 | 0.8756 | 0.8595 | 0.9715 |
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| 0.0745 | 2.28 | 1000 | 0.0795 | 0.8817 | 0.8982 | 0.8899 | 0.9766 |
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| 0.0425 | 3.42 | 1500 | 0.0829 | 0.8844 | 0.9127 | 0.8983 | 0.9773 |
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| 0.0271 | 4.56 | 2000 | 0.0836 | 0.8975 | 0.9148 | 0.9061 | 0.9788 |
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| 0.0181 | 5.69 | 2500 | 0.0949 | 0.8922 | 0.9155 | 0.9037 | 0.9782 |
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| 0.0129 | 6.83 | 3000 | 0.0922 | 0.8912 | 0.9157 | 0.9033 | 0.9793 |
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| 0.0091 | 7.97 | 3500 | 0.0996 | 0.9002 | 0.9169 | 0.9085 | 0.9789 |
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| 0.0073 | 9.11 | 4000 | 0.1031 | 0.9035 | 0.9202 | 0.9118 | 0.9800 |
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| 0.0057 | 10.25 | 4500 | 0.1152 | 0.9014 | 0.9125 | 0.9069 | 0.9788 |
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| 0.005 | 11.39 | 5000 | 0.1138 | 0.8869 | 0.9189 | 0.9026 | 0.9777 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.1.dev0
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- Tokenizers 0.13.2
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