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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# summarize_by_ernie

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: 2.3186

## 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7349        | 1.0   | 989  | 2.3506          |
| 2.6212        | 2.0   | 1978 | 2.3263          |
| 2.6071        | 3.0   | 2967 | 2.3200          |
| 2.5826        | 4.0   | 3956 | 2.3185          |
| 2.5319        | 5.0   | 4945 | 2.3186          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1