qa_by_nllb

This model is a fine-tuned version of baidu/ernie-code-560m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4765

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
3.1922	1.0	1000	1.9035
2.0263	2.0	2000	1.4808
1.7036	3.0	3000	1.4765

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1