---
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
tags:
- generated_from_trainer
model-index:
- name: SolCoderFuncs
  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. -->

# SolCoderFuncs

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: 0.5510

## 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: 0.0001
- train_batch_size: 37
- eval_batch_size: 37
- seed: 100
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 148
- total_eval_batch_size: 148
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8793        | 1.0   | 3600  | 0.7881          |
| 0.7622        | 2.0   | 7200  | 0.7190          |
| 0.7077        | 3.0   | 10800 | 0.6769          |
| 0.659         | 4.0   | 14400 | 0.6518          |
| 0.6212        | 5.0   | 18000 | 0.6300          |
| 0.589         | 6.0   | 21600 | 0.6119          |
| 0.562         | 7.0   | 25200 | 0.6014          |
| 0.5361        | 8.0   | 28800 | 0.5905          |
| 0.5171        | 9.0   | 32400 | 0.5799          |
| 0.4973        | 10.0  | 36000 | 0.5747          |
| 0.4772        | 11.0  | 39600 | 0.5666          |
| 0.4619        | 12.0  | 43200 | 0.5610          |
| 0.4443        | 13.0  | 46800 | 0.5588          |
| 0.4335        | 14.0  | 50400 | 0.5571          |
| 0.4192        | 15.0  | 54000 | 0.5534          |
| 0.4062        | 16.0  | 57600 | 0.5512          |
| 0.3977        | 17.0  | 61200 | 0.5513          |
| 0.3864        | 18.0  | 64800 | 0.5515          |
| 0.3791        | 19.0  | 68400 | 0.5507          |
| 0.3718        | 20.0  | 72000 | 0.5510          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.1.0+cu121
- Datasets 2.11.0
- Tokenizers 0.13.3