bert-base-chinese-finetuned-paragraph_extraction-retrain3

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: 0.2350
• Accuracy: 0.9538

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: 2
• eval_batch_size: 2
• 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
0.1994	0.1842	2000	0.2304	0.9395
0.2139	0.3684	4000	0.3441	0.9242
0.2433	0.5526	6000	0.2450	0.9528
0.1658	0.7369	8000	0.1913	0.9548
0.1741	0.9211	10000	0.2350	0.9538

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1