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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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