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# CodeGeneration-CodeT5-base

This model was trained from the pretrained CodeT5-base model on [ThoughtFocusAI/Python-CodeGeneration](https://huggingface.co/datasets/ThoughtFocusAI/Python-CodeGeneration) dataset.
It achieves the following results on the evaluation set:
- ngram match: 0.014948515566713798 
- weighted ngram match: 0.017803898905793227
- syntax_match: 0.21961325966850828
- dataflow_match: 0.36255924170616116 
- bleu = 1.87 
- codebleu = 15.3731 
- exact match = 0.0


## Model description

This model was trained from the pretrained CodeT5-base model Salesforce and has been fine tuned for Python Code Genertion.

## Intended uses & limitations

Python Code Generation.
Limited to simple queries.

## Training and evaluation data

[ThoughtFocusAI/Python-CodeGeneration](https://huggingface.co/datasets/ThoughtFocusAI/Python-CodeGeneration)

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32

### Training results



### Framework versions

- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
{"tags": ["generated_from_keras_callback"], "datasets": ["ThoughtFocusAI/Python-CodeGeneration"], "model-index": [{"name": "CodeGeneration-CodeT5-base", "results": []}]}
transformers tf t5 text2text-generation generated_from_keras_callback dataset:ThoughtFocusAI/Python-CodeGeneration autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #dataset-ThoughtFocusAI/Python-CodeGeneration #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 




# CodeGeneration-CodeT5-base

This model was trained from the pretrained CodeT5-base model on ThoughtFocusAI/Python-CodeGeneration dataset.
It achieves the following results on the evaluation set:
- ngram match: 0.014948515566713798 
- weighted ngram match: 0.017803898905793227
- syntax_match: 0.21961325966850828
- dataflow_match: 0.36255924170616116 
- bleu = 1.87 
- codebleu = 15.3731 
- exact match = 0.0


## Model description

This model was trained from the pretrained CodeT5-base model Salesforce and has been fine tuned for Python Code Genertion.

## Intended uses & limitations

Python Code Generation.
Limited to simple queries.

## Training and evaluation data

ThoughtFocusAI/Python-CodeGeneration

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32

### Training results



### Framework versions

- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
# CodeGeneration-CodeT5-base

This model was trained from the pretrained CodeT5-base model on ThoughtFocusAI/Python-CodeGeneration dataset.
It achieves the following results on the evaluation set:
- ngram match: 0.014948515566713798 
- weighted ngram match: 0.017803898905793227
- syntax_match: 0.21961325966850828
- dataflow_match: 0.36255924170616116 
- bleu = 1.87 
- codebleu = 15.3731 
- exact match = 0.0 ## Model description

This model was trained from the pretrained CodeT5-base model Salesforce and has been fine tuned for Python Code Genertion. ## Intended uses & limitations

Python Code Generation.
Limited to simple queries. ## Training and evaluation data

ThoughtFocusAI/Python-CodeGeneration ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32 ### Training results ### Framework versions

- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
TAGS
#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #dataset-ThoughtFocusAI/Python-CodeGeneration #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # CodeGeneration-CodeT5-base

This model was trained from the pretrained CodeT5-base model on ThoughtFocusAI/Python-CodeGeneration dataset.
It achieves the following results on the evaluation set:
- ngram match: 0.014948515566713798 
- weighted ngram match: 0.017803898905793227
- syntax_match: 0.21961325966850828
- dataflow_match: 0.36255924170616116 
- bleu = 1.87 
- codebleu = 15.3731 
- exact match = 0.0 ## Model description

This model was trained from the pretrained CodeT5-base model Salesforce and has been fine tuned for Python Code Genertion. ## Intended uses & limitations

Python Code Generation.
Limited to simple queries. ## Training and evaluation data

ThoughtFocusAI/Python-CodeGeneration ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32 ### Training results ### Framework versions

- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3