---
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: constrative_cont
  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. -->

# constrative_cont

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: 3.0823
- Rouge1: 12.5556
- Rouge2: 3.25
- Rougel: 10.4444
- Rougelsum: 10.2222
- Gen Len: 11.8

## 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: 10
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 320
- 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: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 1    | 5.1699          | 5.6856  | 0.0    | 4.8309  | 5.0576    | 20.0    |
| No log        | 2.0   | 2    | 5.1699          | 5.6856  | 0.0    | 4.8309  | 5.0576    | 20.0    |
| No log        | 3.0   | 3    | 5.1699          | 5.6856  | 0.0    | 4.8309  | 5.0576    | 20.0    |
| No log        | 4.0   | 4    | 4.0622          | 2.4     | 0.0    | 1.6     | 1.6       | 18.7    |
| No log        | 5.0   | 5    | 3.5637          | 6.7206  | 1.0526 | 6.0343  | 6.0343    | 14.7    |
| No log        | 6.0   | 6    | 3.3110          | 8.5233  | 0.0    | 6.575   | 6.9583    | 10.8    |
| No log        | 7.0   | 7    | 3.1320          | 14.0635 | 3.0526 | 12.1905 | 12.1905   | 13.5    |
| No log        | 8.0   | 8    | 3.0823          | 12.5556 | 3.25   | 10.4444 | 10.2222   | 11.8    |


### Framework versions

- Transformers 4.55.4
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4