---
license: bsd-3-clause
library_name: peft
tags:
- generated_from_trainer
base_model: Salesforce/codet5p-770m
model-index:
- name: codet5p-770m-lora
  results: []
---

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# codet5p-770m-lora

This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-770m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1024

## 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: 1e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.3504        | 0.9979 | 349  | 0.1097          |
| 0.1159        | 1.9986 | 699  | 0.1053          |
| 0.1101        | 2.9993 | 1049 | 0.1035          |
| 0.1077        | 4.0    | 1399 | 0.1027          |
| 0.1064        | 4.9893 | 1745 | 0.1024          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1