transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:Salesforce/codet5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-ft-v6
  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. -->

# codet5-small-ft-v6

This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5863
- Rouge1: 71.8559
- Rouge2: 60.5888
- Rougel: 71.8854
- Rougelsum: 72.4012
- Gen Len: 11.3611

## 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: 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 8    | 2.3812          | 55.4108 | 40.7913 | 55.1318 | 55.507    | 12.0556 |
| No log        | 2.0   | 16   | 1.8744          | 68.0982 | 55.7308 | 67.6019 | 68.3046   | 10.8889 |
| No log        | 3.0   | 24   | 1.6721          | 70.6333 | 59.7463 | 70.6679 | 71.2205   | 11.0833 |
| No log        | 4.0   | 32   | 1.5863          | 71.8559 | 60.5888 | 71.8854 | 72.4012   | 11.3611 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
