distilbert-base-uncased-finetuned-amazon_zh_20000

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3516
• Accuracy: 0.414

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: 2e-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	Accuracy
1.4343	1.0	1250	1.3516	0.414

Framework versions

• Transformers 4.15.0
• Pytorch 1.9.1
• Datasets 1.18.3
• Tokenizers 0.10.3