---
base_model: baidu/ernie-code-560m
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: qa_by_bird_lora_weights
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# qa_by_bird_lora_weights

This model is a fine-tuned version of [baidu/ernie-code-560m](https://huggingface.co/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