---
license: bsd-3-clause
base_model: Salesforce/codet5-large
tags:
- generated_from_trainer
datasets:
- arrow
library_name: peft
model-index:
- name: codet5-large-2024-11-27_20-00
  results: []
---

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# codet5-large-2024-11-27_20-00

This model is a fine-tuned version of [Salesforce/codet5-large](https://huggingface.co/Salesforce/codet5-large) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2856
- Gen Len: 18.9997
- Bertscorer-p: 0.6071
- Bertscorer-r: 0.2214
- Bertscorer-f1: 0.4073
- Sacrebleu-score: 13.1915
- Sacrebleu-precisions: [91.2377160786171, 81.28148602080365, 74.45810305941498, 69.5812750161697]
- Bleu-bp: 0.1676

## 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: 0.0003
- 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
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions                                                       | Bleu-bp |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:--------------------------------------------------------------------------:|:-------:|
| 0.3327        | 1.0   | 2386 | 0.2856          | 18.9997 | 0.6071       | 0.2214       | 0.4073        | 13.1915         | [91.2377160786171, 81.28148602080365, 74.45810305941498, 69.5812750161697] | 0.1676  |


### Framework versions

- PEFT 0.13.2
- Transformers 4.40.1
- Pytorch 1.13.1+cu117
- Datasets 3.1.0
- Tokenizers 0.19.1