---
license: bsd-3-clause
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: CommitPredictorT5
  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. -->

# CommitPredictorT5

This model is a fine-tuned version of [Salesforce/codet5-base-multi-sum](https://huggingface.co/Salesforce/codet5-base-multi-sum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7383
- Rouge1: 0.0001
- Rouge2: 0.0
- Rougel: 0.0001
- Rougelsum: 0.0001
- Gen Len: 1.0
- Bleu: 0.0003

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|
| 3.2223        | 1.0   | 837   | 2.6672          | 0.0    | 0.0    | 0.0    | 0.0       | 1.0     | 0.0003 |
| 2.6296        | 2.0   | 1674  | 2.5416          | 0.0    | 0.0    | 0.0    | 0.0       | 1.0     | 0.0003 |
| 2.4155        | 3.0   | 2511  | 2.4725          | 0.0    | 0.0    | 0.0    | 0.0       | 1.0     | 0.0003 |
| 2.2666        | 4.0   | 3348  | 2.4331          | 0.0    | 0.0    | 0.0    | 0.0       | 1.0     | 0.0003 |
| 2.112         | 5.0   | 4185  | 2.4343          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 1.9833        | 6.0   | 5022  | 2.4283          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 1.8833        | 7.0   | 5859  | 2.4360          | 0.0    | 0.0    | 0.0    | 0.0       | 1.0     | 0.0003 |
| 1.7778        | 8.0   | 6696  | 2.4457          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 1.6767        | 9.0   | 7533  | 2.4696          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 1.5805        | 10.0  | 8370  | 2.4829          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 1.4918        | 11.0  | 9207  | 2.5202          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 1.4137        | 12.0  | 10044 | 2.5357          | 0.0    | 0.0    | 0.0    | 0.0       | 1.0     | 0.0003 |
| 1.3351        | 13.0  | 10881 | 2.5621          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 1.2533        | 14.0  | 11718 | 2.5992          | 0.0    | 0.0    | 0.0    | 0.0       | 1.0     | 0.0003 |
| 1.1952        | 15.0  | 12555 | 2.6149          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 1.122         | 16.0  | 13392 | 2.6565          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 1.0543        | 17.0  | 14229 | 2.6823          | 0.0    | 0.0    | 0.0    | 0.0       | 1.0     | 0.0003 |
| 1.0017        | 18.0  | 15066 | 2.7106          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |
| 0.9437        | 19.0  | 15903 | 2.7383          | 0.0001 | 0.0    | 0.0001 | 0.0001    | 1.0     | 0.0003 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2