metadata
library_name: transformers
license: apache-2.0
base_model: hfl/chinese-roberta-wwm-ext
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chinese-roberta-wwm-ext_lr_3e-06_batch_8_epoch_3_model
results: []
chinese-roberta-wwm-ext_lr_3e-06_batch_8_epoch_3_model
This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1503
- Accuracy: 0.9531
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: 3e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1696 | 1.0 | 1358 | 0.1671 | 0.9458 |
| 0.1169 | 2.0 | 2716 | 0.1469 | 0.9535 |
| 0.1009 | 3.0 | 4074 | 0.1503 | 0.9531 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1