---
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
tags:
- generated_from_trainer
model-index:
- name: CodeT5p-ModelPhase2-01072025
  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. -->

# CodeT5p-ModelPhase2-01072025

This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.7451

## 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: 14
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.2614        | 1.0   | 1    | 10.6939         |
| 8.2039        | 2.0   | 2    | 9.1045          |
| 6.702         | 3.0   | 3    | 7.5605          |
| 5.909         | 4.0   | 4    | 6.4362          |
| 5.2914        | 5.0   | 5    | 6.4362          |
| 5.3337        | 6.0   | 6    | 6.0886          |
| 5.0139        | 7.0   | 7    | 5.9303          |
| 4.9826        | 8.0   | 8    | 5.8531          |
| 4.751         | 9.0   | 9    | 5.7749          |
| 4.6473        | 10.0  | 10   | 5.7451          |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1