metadata
base_model: baidu/ernie-code-560m
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: qa_by_bird_lora_weights
results: []
qa_by_bird_lora_weights
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: 3.9151
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: 0.1
- 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 |
|---|---|---|---|
| 4.9165 | 1.0 | 1000 | 4.2814 |
| 4.5737 | 2.0 | 2000 | 3.9608 |
| 4.3832 | 3.0 | 3000 | 3.9151 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1