ch_text_001
This model is a fine-tuned version of shibing624/text2vec-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0768
- Accuracy: 0.9870
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0781 | 1.0 | 2125 | 0.0781 | 0.9849 |
| 0.0545 | 2.0 | 4250 | 0.0768 | 0.9870 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cpu
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for lixugang/ch_text_001
Base model
shibing624/text2vec-base-chinese