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---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: chinese-pert-large-finetuned-product
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# chinese-pert-large-finetuned-product
This model is a fine-tuned version of [hfl/chinese-pert-large](https://huggingface.co/hfl/chinese-pert-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0208
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 128
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0545 | 1.0 | 3237 | 0.0532 |
| 0.0451 | 2.0 | 6474 | 0.0465 |
| 0.0414 | 3.0 | 9711 | 0.0439 |
| 0.0198 | 4.0 | 12948 | 0.0220 |
| 0.0191 | 5.0 | 16185 | 0.0217 |
| 0.0188 | 6.0 | 19422 | 0.0215 |
| 0.0185 | 7.0 | 22659 | 0.0212 |
| 0.0183 | 8.0 | 25896 | 0.0209 |
| 0.0181 | 9.0 | 29133 | 0.0208 |
| 0.018 | 10.0 | 32370 | 0.0208 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.6.0
- Datasets 2.0.0
- Tokenizers 0.11.6
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