test-bert-3

This model is a fine-tuned version of hung200504/test-bert-2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 11.6031

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: 16
• eval_batch_size: 16
• 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
10.6386	0.09	5	11.9162
10.5413	0.18	10	11.8580
10.0927	0.27	15	11.8059
10.4313	0.36	20	11.7598
10.3152	0.45	25	11.7196
10.4342	0.55	30	11.6852
9.8252	0.64	35	11.6565
9.7464	0.73	40	11.6349
10.1302	0.82	45	11.6187
9.95	0.91	50	11.6080
10.2359	1.0	55	11.6031

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1