---
license: bsd-3-clause
base_model: Salesforce/codegen-350M-mono
tags:
- generated_from_trainer
model-index:
- name: ast_method2test-codegen-350M_v1_v1
  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. -->

# ast_method2test-codegen-350M_v1_v1

This model is a fine-tuned version of [Salesforce/codegen-350M-mono](https://huggingface.co/Salesforce/codegen-350M-mono) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2259

## 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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2695        | 1.0   | 1768  | 0.2096          |
| 0.1801        | 2.0   | 3536  | 0.1897          |
| 0.1479        | 3.0   | 5304  | 0.1855          |
| 0.1245        | 4.0   | 7072  | 0.1904          |
| 0.1073        | 5.0   | 8840  | 0.1961          |
| 0.0941        | 6.0   | 10608 | 0.2011          |
| 0.0831        | 7.0   | 12376 | 0.2081          |
| 0.074         | 8.0   | 14144 | 0.2157          |
| 0.0667        | 9.0   | 15912 | 0.2209          |
| 0.0612        | 10.0  | 17680 | 0.2259          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0