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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: distilbert-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: distilbert-base-uncased-finetuned-DIS-mlm5
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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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# distilbert-base-uncased-finetuned-DIS-mlm5
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.4911
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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: 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: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.036 | 1.0 | 2 | 4.3499 |
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| 0.1722 | 2.0 | 4 | 4.3545 |
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| 0.6087 | 3.0 | 6 | 5.8627 |
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| 0.2151 | 4.0 | 8 | 3.6960 |
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| 0.2115 | 5.0 | 10 | 3.2086 |
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| 0.3443 | 6.0 | 12 | 5.1042 |
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| 0.1082 | 7.0 | 14 | 4.0195 |
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| 0.5068 | 8.0 | 16 | 3.6664 |
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| 0.7362 | 9.0 | 18 | 4.3850 |
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| 0.4281 | 10.0 | 20 | 4.6974 |
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| 1.3107 | 11.0 | 22 | 4.3258 |
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| 1.4157 | 12.0 | 24 | 4.8907 |
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| 2.5918 | 13.0 | 26 | 4.6595 |
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| 2.577 | 14.0 | 28 | 4.3417 |
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| 1.6291 | 15.0 | 30 | 5.0013 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.2
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- Tokenizers 0.13.3
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