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README.md
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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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model-index:
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- name: tiny-mlm-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-conll2003
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.6472
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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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- num_epochs: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 5.4619 | 0.4 | 500 | 5.1363 |
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| 5.2804 | 0.8 | 1000 | 4.9579 |
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| 5.1847 | 1.2 | 1500 | 4.7870 |
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| 5.0376 | 1.6 | 2000 | 4.8272 |
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| 4.9622 | 2.0 | 2500 | 4.8460 |
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| 4.913 | 2.4 | 3000 | 4.7859 |
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| 4.9216 | 2.8 | 3500 | 4.7816 |
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| 4.8176 | 3.2 | 4000 | 4.7040 |
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| 4.7735 | 3.6 | 4500 | 4.6986 |
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| 4.7892 | 4.0 | 5000 | 4.6846 |
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| 4.718 | 4.4 | 5500 | 4.6943 |
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| 4.6564 | 4.8 | 6000 | 4.6461 |
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| 4.6593 | 5.2 | 6500 | 4.6011 |
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| 4.6384 | 5.6 | 7000 | 4.7286 |
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| 4.5704 | 6.0 | 7500 | 4.7027 |
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| 4.478 | 6.4 | 8000 | 4.6472 |
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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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