dzoQA_tibet

This model is a fine-tuned version of sangjeedondrub/tibetan-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.7768

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	17	5.1251
No log	2.0	34	4.8563
No log	3.0	51	4.7984
No log	4.0	68	4.7833
No log	5.0	85	4.7768

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1