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README.md
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## Training procedure
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license: bigcode-openrail-m
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base_model: bigcode/starcoder
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tags:
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- generated_from_trainer
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model-index:
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- name: starcoder-java2py-snippet1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# starcoder-java2py-snippet1
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This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2013
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 9e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- training_steps: 150
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.6996 | 0.17 | 25 | 0.3575 |
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| 0.2656 | 0.33 | 50 | 0.2185 |
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| 0.2123 | 0.5 | 75 | 0.2070 |
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| 0.2077 | 0.67 | 100 | 0.2030 |
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| 0.2036 | 0.83 | 125 | 0.2016 |
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| 0.2042 | 1.0 | 150 | 0.2013 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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