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