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# code_to_comment_conala

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4816
- Bleu: 13.7335
- Gen Len: 19.8993

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.4821        | 1.0   | 625  | 1.8299          | 10.1751 | 19.7986 |
| 2.0145        | 2.0   | 1250 | 1.6934          | 12.468  | 19.9568 |
| 1.8543        | 3.0   | 1875 | 1.6314          | 12.2525 | 19.8129 |
| 1.6883        | 4.0   | 2500 | 1.5832          | 12.4645 | 19.9137 |
| 1.6251        | 5.0   | 3125 | 1.5516          | 13.1134 | 19.7842 |
| 1.581         | 6.0   | 3750 | 1.5304          | 13.0768 | 19.9856 |
| 1.5261        | 7.0   | 4375 | 1.5081          | 13.6443 | 19.8993 |
| 1.4693        | 8.0   | 5000 | 1.5049          | 13.4999 | 19.8705 |
| 1.4356        | 9.0   | 5625 | 1.5003          | 13.7787 | 19.8993 |
| 1.4267        | 10.0  | 6250 | 1.4952          | 14.6068 | 19.9137 |
| 1.4008        | 11.0  | 6875 | 1.4899          | 13.9106 | 19.9712 |
| 1.3817        | 12.0  | 7500 | 1.4895          | 13.6681 | 19.9424 |
| 1.3494        | 13.0  | 8125 | 1.4823          | 13.6544 | 19.9424 |
| 1.3512        | 14.0  | 8750 | 1.4813          | 13.5975 | 19.9424 |
| 1.3572        | 15.0  | 9375 | 1.4816          | 13.7335 | 19.8993 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "code_to_comment_conala", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

code\_to\_comment\_conala
=========================


This model is a fine-tuned version of t5-base on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.4816
* Bleu: 13.7335
* Gen Len: 19.8993


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: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3