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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: mdeberta-v3-base-finetuned-pos
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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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# mdeberta-v3-base-finetuned-pos
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0887
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- Acc: 0.9814
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- F1: 0.8861
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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: 16
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- eval_batch_size: 16
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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 | Acc | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| No log | 1.0 | 439 | 0.0965 | 0.9749 | 0.8471 |
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| 0.3317 | 2.0 | 878 | 0.0815 | 0.9783 | 0.8702 |
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| 0.0775 | 3.0 | 1317 | 0.0780 | 0.9812 | 0.8825 |
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| 0.0568 | 4.0 | 1756 | 0.0769 | 0.9809 | 0.8827 |
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| 0.0444 | 5.0 | 2195 | 0.0799 | 0.9811 | 0.8885 |
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| 0.0339 | 6.0 | 2634 | 0.0834 | 0.9813 | 0.8821 |
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| 0.0278 | 7.0 | 3073 | 0.0845 | 0.9817 | 0.8843 |
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| 0.0222 | 8.0 | 3512 | 0.0866 | 0.9814 | 0.8863 |
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| 0.0222 | 9.0 | 3951 | 0.0885 | 0.9814 | 0.8862 |
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| 0.0188 | 10.0 | 4390 | 0.0887 | 0.9814 | 0.8861 |
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### Framework versions
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- Transformers 4.20.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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