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---
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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-wikitext-from-scratch-custom-tokenizer-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-wikitext-from-scratch-custom-tokenizer-target-conll2003
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This model is a fine-tuned version of [muhtasham/tiny-mlm-wikitext-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-wikitext-from-scratch-custom-tokenizer) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3451
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- Precision: 0.3914
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- Recall: 0.5631
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- F1: 0.4618
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- Accuracy: 0.8978
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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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| 1.0009 | 1.14 | 500 | 0.6888 | 0.1156 | 0.1160 | 0.1158 | 0.8144 |
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| 0.6084 | 2.28 | 1000 | 0.5797 | 0.2110 | 0.2735 | 0.2382 | 0.8417 |
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| 0.5231 | 3.42 | 1500 | 0.5113 | 0.2567 | 0.3295 | 0.2886 | 0.8560 |
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| 0.4552 | 4.56 | 2000 | 0.4575 | 0.2947 | 0.4061 | 0.3415 | 0.8701 |
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| 0.4 | 5.69 | 2500 | 0.4172 | 0.3182 | 0.4615 | 0.3767 | 0.8802 |
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| 0.3587 | 6.83 | 3000 | 0.3915 | 0.3378 | 0.4921 | 0.4006 | 0.8871 |
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| 0.3263 | 7.97 | 3500 | 0.3719 | 0.3638 | 0.5296 | 0.4313 | 0.8918 |
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| 0.2975 | 9.11 | 4000 | 0.3605 | 0.3687 | 0.5411 | 0.4385 | 0.8939 |
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| 0.2748 | 10.25 | 4500 | 0.3509 | 0.3868 | 0.5471 | 0.4532 | 0.8969 |
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| 0.2602 | 11.39 | 5000 | 0.3451 | 0.3914 | 0.5631 | 0.4618 | 0.8978 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.1+cu116
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- Datasets 2.8.1.dev0
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- Tokenizers 0.13.2
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