---
license: apache-2.0
base_model: Salesforce/codet5-base
tags:
- generated_from_trainer
model-index:
- name: CodeT5ForCodeSummary
  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. -->

# CodeT5ForCodeSummary

This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8891

## 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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 14400.0
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0295        | 1.0   | 750   | 0.7786          |
| 0.7481        | 2.0   | 1500  | 0.6092          |
| 0.6274        | 3.0   | 2250  | 0.5648          |
| 0.5562        | 4.0   | 3000  | 0.5395          |
| 0.479         | 5.0   | 3750  | 0.5328          |
| 0.4297        | 6.0   | 4500  | 0.5227          |
| 0.3519        | 7.0   | 5250  | 0.5505          |
| 0.3148        | 8.0   | 6000  | 0.5607          |
| 0.2535        | 9.0   | 6750  | 0.5909          |
| 0.2152        | 10.0  | 7500  | 0.6145          |
| 0.1801        | 11.0  | 8250  | 0.6458          |
| 0.1635        | 12.0  | 9000  | 0.6921          |
| 0.1474        | 13.0  | 9750  | 0.7425          |
| 0.1236        | 14.0  | 10500 | 0.7537          |
| 0.1075        | 15.0  | 11250 | 0.8059          |
| 0.1039        | 16.0  | 12000 | 0.8050          |
| 0.0888        | 17.0  | 12750 | 0.8645          |
| 0.0857        | 18.0  | 13500 | 0.8714          |
| 0.0763        | 19.0  | 14250 | 0.9016          |
| 0.048         | 20.0  | 15000 | 0.8891          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0