---
license: mit
base_model: baidu/ernie-code-560m
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_awesome_opus_books_model
  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. -->

# my_awesome_opus_books_model

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: nan
- Bleu: 1.202
- Gen Len: 17.9792

## 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu  | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-----:|:-------:|
| 0.0           | 1.0   | 6354  | nan             | 1.202 | 17.9792 |
| 0.0           | 2.0   | 12708 | nan             | 1.202 | 17.9792 |


### Framework versions

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