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# reduced_ast_method2test-codegen-350M_v1

This model is a fine-tuned version of [Salesforce/codegen-350M-mono](https://huggingface.co/Salesforce/codegen-350M-mono) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7188

## 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: 5e-06
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0757        | 1.0   | 552  | 0.7995          |
| 0.6901        | 2.0   | 1104 | 0.7188          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codegen-350M-mono", "model-index": [{"name": "reduced_ast_method2test-codegen-350M_v1", "results": []}]}
transformers tensorboard safetensors codegen text-generation generated_from_trainer base_model:Salesforce/codegen-350M-mono license:bsd-3-clause autotrain_compatible endpoints_compatible region:us