metadata
base_model: bert-base-chinese
tags:
- generated_from_trainer
model-index:
- name: bert_tnew_cls
results: []
bert_tnew_cls
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: 3.2489
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.3125 | 10 | 2.8092 |
| No log | 0.625 | 20 | 2.8664 |
| No log | 0.9375 | 30 | 2.8930 |
| No log | 1.25 | 40 | 3.0741 |
| No log | 1.5625 | 50 | 3.1788 |
| No log | 1.875 | 60 | 3.2591 |
| No log | 2.1875 | 70 | 3.2654 |
| No log | 2.5 | 80 | 3.2536 |
| No log | 2.8125 | 90 | 3.2486 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1