metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classification_chnsenticorp_scarce
results: []
classification_chnsenticorp_scarce
This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7194
- Accuracy: 0.5
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: 10
- eval_batch_size: 10
- 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 | Accuracy |
|---|---|---|---|---|
| 0.7839 | 1.0 | 2 | 0.7446 | 0.4 |
| 0.6498 | 2.0 | 4 | 0.7266 | 0.45 |
| 0.5516 | 3.0 | 6 | 0.7208 | 0.35 |
| 0.5203 | 4.0 | 8 | 0.7190 | 0.35 |
| 0.4611 | 5.0 | 10 | 0.7162 | 0.45 |
| 0.4248 | 6.0 | 12 | 0.7178 | 0.45 |
| 0.3504 | 7.0 | 14 | 0.7153 | 0.45 |
| 0.3418 | 8.0 | 16 | 0.7170 | 0.5 |
| 0.315 | 9.0 | 18 | 0.7192 | 0.5 |
| 0.3125 | 10.0 | 20 | 0.7194 | 0.5 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2