my_test_model

This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the orchid_corpus dataset. It achieves the following results on the evaluation set:

• Loss: 0.4402
• Precision: 0.6866
• Recall: 0.6613
• F1: 0.6737
• Accuracy: 0.8615

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.6071	1.0	1157	0.4812	0.6686	0.6451	0.6566	0.8524
0.4831	2.0	2314	0.4402	0.6866	0.6613	0.6737	0.8615

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0