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update model card README.md

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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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+
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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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+
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+ # chinese-pert-large-finetuned-product
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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