my_awesome_hw1_model
This model is a fine-tuned version of google-bert/bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3432
- Accuracy: 0.9511
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4023 | 1.0 | 10857 | 0.2515 | 0.9472 |
| 0.2345 | 2.0 | 21714 | 0.3472 | 0.9472 |
| 0.044 | 3.0 | 32571 | 0.3432 | 0.9511 |
Framework versions
- Transformers 4.54.1
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
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Model tree for soaring0616/my_awesome_hw1_model
Base model
google-bert/bert-base-chinese