mbert_zhth
This model is a fine-tuned version of ../mbert_zhth/ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4626
- Accuracy: 0.7125
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.12.0
- Tokenizers 0.13.3