metadata
tags:
- generated_from_trainer
model-index:
- name: Comment_Score_By_douban_-finetuned-financial_data
results: []
Comment_Score_By_douban_-finetuned-financial_data
This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 31500.6484
- Mse: 31500.6504
- Rmse: 177.4842
- Mae: 14.6923
- R2: -0.0018
- Smape: 99.0400
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: 64
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae | R2 | Smape |
|---|---|---|---|---|---|---|---|---|
| 37116.628 | 1.0 | 2099 | 31500.6484 | 31500.6504 | 177.4842 | 14.6923 | -0.0018 | 99.0400 |
| 39346.64 | 2.0 | 4198 | 31497.1582 | 31497.1523 | 177.4744 | 14.2999 | -0.0017 | 90.1972 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.1+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2