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# flan-t5-small-codeparrot-xlcost-text-to-code

This model is a fine-tuned version of [epinnock/flan-t5-small-codeparrot-xlcost-text-to-code](https://huggingface.co/epinnock/flan-t5-small-codeparrot-xlcost-text-to-code) on the xlcost-text-to-code dataset.

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Framework versions

- Transformers 4.26.0
- Pytorch 1.12.0+cu116
- Datasets 2.9.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "datasets": ["xlcost-text-to-code"], "model-index": [{"name": "flan-t5-small-codeparrot-xlcost-text-to-code", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer dataset:xlcost-text-to-code autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-xlcost-text-to-code #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# flan-t5-small-codeparrot-xlcost-text-to-code

This model is a fine-tuned version of epinnock/flan-t5-small-codeparrot-xlcost-text-to-code on the xlcost-text-to-code dataset.

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Framework versions

- Transformers 4.26.0
- Pytorch 1.12.0+cu116
- Datasets 2.9.0
- Tokenizers 0.12.1

# flan-t5-small-codeparrot-xlcost-text-to-code

This model is a fine-tuned version of epinnock/flan-t5-small-codeparrot-xlcost-text-to-code on the xlcost-text-to-code dataset. ## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1 ### Framework versions

- Transformers 4.26.0
- Pytorch 1.12.0+cu116
- Datasets 2.9.0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-xlcost-text-to-code #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # flan-t5-small-codeparrot-xlcost-text-to-code

This model is a fine-tuned version of epinnock/flan-t5-small-codeparrot-xlcost-text-to-code on the xlcost-text-to-code dataset. ## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1 ### Framework versions

- Transformers 4.26.0
- Pytorch 1.12.0+cu116
- Datasets 2.9.0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-xlcost-text-to-code #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# flan-t5-small-codeparrot-xlcost-text-to-code

This model is a fine-tuned version of epinnock/flan-t5-small-codeparrot-xlcost-text-to-code on the xlcost-text-to-code dataset.## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1### Framework versions

- Transformers 4.26.0
- Pytorch 1.12.0+cu116
- Datasets 2.9.0
- Tokenizers 0.12.1