metadata
base_model: bert-base-chinese
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: test_20241111084845
results: []
test_20241111084845
This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3881
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4553 | 1.0 | 10 | 1.4085 |
| 1.4171 | 2.0 | 20 | 1.3980 |
| 1.3818 | 3.0 | 30 | 1.4007 |
| 1.3472 | 4.0 | 40 | 1.4040 |
| 1.2685 | 5.0 | 50 | 1.3881 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1