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-05_batch_8_epoch_1_model
results: []
chinese-roberta-wwm-ext_lr_3e-05_batch_8_epoch_1_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: 0.1445
- Accuracy: 0.9575
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-05
- 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2337 | 0.3682 | 500 | 0.1703 | 0.9538 |
| 0.1107 | 0.7364 | 1000 | 0.1445 | 0.9575 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1