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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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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: PFPC_model
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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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# PFPC_model
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4653
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- Accuracy: 0.9042
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 285 | 1.2663 | 0.7251 |
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| 1.6418 | 2.0 | 570 | 0.7247 | 0.8420 |
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| 1.6418 | 3.0 | 855 | 0.5652 | 0.8657 |
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| 0.5038 | 4.0 | 1140 | 0.4997 | 0.8769 |
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| 0.5038 | 5.0 | 1425 | 0.4709 | 0.8905 |
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| 0.2428 | 6.0 | 1710 | 0.4769 | 0.8968 |
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| 0.2428 | 7.0 | 1995 | 0.4764 | 0.8980 |
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| 0.1256 | 8.0 | 2280 | 0.4716 | 0.9067 |
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| 0.0758 | 9.0 | 2565 | 0.4710 | 0.9055 |
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| 0.0758 | 10.0 | 2850 | 0.4653 | 0.9042 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.0
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- Tokenizers 0.13.3
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