transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:ayeshgk/codet5-small-ft-v8-cpatd license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: ayeshgk/codet5-small-ft-v8-cpatd
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-ft-v8-cpatd-ft-v8-cpat_dv5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# codet5-small-ft-v8-cpatd-ft-v8-cpat_dv5

This model is a fine-tuned version of [ayeshgk/codet5-small-ft-v8-cpatd](https://huggingface.co/ayeshgk/codet5-small-ft-v8-cpatd) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1715
- Rouge1: 86.4622
- Rouge2: 76.541
- Rougel: 85.4053
- Rougelsum: 85.4218
- Gen Len: 13.7143

## 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   | 20   | 0.3355          | 82.9142 | 68.2812 | 81.8458 | 81.8291   | 13.3857 |
| No log        | 2.0   | 40   | 0.2333          | 84.3779 | 72.1358 | 83.5562 | 83.5825   | 13.3571 |
| No log        | 3.0   | 60   | 0.1830          | 86.0988 | 75.5643 | 85.1853 | 85.2291   | 13.6143 |
| No log        | 4.0   | 80   | 0.1715          | 86.4622 | 76.541  | 85.4053 | 85.4218   | 13.7143 |


### Framework versions

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