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---
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: chinese-pert-large-finetuned-product
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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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# chinese-pert-large-finetuned-product
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This model is a fine-tuned version of [hfl/chinese-pert-large](https://huggingface.co/hfl/chinese-pert-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0208
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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: 128
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- eval_batch_size: 64
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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 |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.0545 | 1.0 | 3237 | 0.0532 |
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| 0.0451 | 2.0 | 6474 | 0.0465 |
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| 0.0414 | 3.0 | 9711 | 0.0439 |
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| 0.0198 | 4.0 | 12948 | 0.0220 |
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| 0.0191 | 5.0 | 16185 | 0.0217 |
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| 0.0188 | 6.0 | 19422 | 0.0215 |
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| 0.0185 | 7.0 | 22659 | 0.0212 |
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| 0.0183 | 8.0 | 25896 | 0.0209 |
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| 0.0181 | 9.0 | 29133 | 0.0208 |
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| 0.018 | 10.0 | 32370 | 0.0208 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.6.0
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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