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# c-deobfuscate-mt

This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5207
- eval_bleu: 65.8038
- eval_gen_len: 266.6
- eval_runtime: 13.5258
- eval_samples_per_second: 1.109
- eval_steps_per_second: 0.148
- epoch: 40.0
- step: 960

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1

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




# c-deobfuscate-mt

This model is a fine-tuned version of Salesforce/codet5-base on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5207
- eval_bleu: 65.8038
- eval_gen_len: 266.6
- eval_runtime: 13.5258
- eval_samples_per_second: 1.109
- eval_steps_per_second: 0.148
- epoch: 40.0
- step: 960

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1

# c-deobfuscate-mt

This model is a fine-tuned version of Salesforce/codet5-base on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5207
- eval_bleu: 65.8038
- eval_gen_len: 266.6
- eval_runtime: 13.5258
- eval_samples_per_second: 1.109
- eval_steps_per_second: 0.148
- epoch: 40.0
- step: 960 ## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # c-deobfuscate-mt

This model is a fine-tuned version of Salesforce/codet5-base on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5207
- eval_bleu: 65.8038
- eval_gen_len: 266.6
- eval_runtime: 13.5258
- eval_samples_per_second: 1.109
- eval_steps_per_second: 0.148
- epoch: 40.0
- step: 960 ## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# c-deobfuscate-mt

This model is a fine-tuned version of Salesforce/codet5-base on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5207
- eval_bleu: 65.8038
- eval_gen_len: 266.6
- eval_runtime: 13.5258
- eval_samples_per_second: 1.109
- eval_steps_per_second: 0.148
- epoch: 40.0
- step: 960## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1