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---
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## Training procedure
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---
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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-c2py-testprogram
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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-c2py-testprogram
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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: 0.1295
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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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: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.1742 | 0.05 | 5 | 0.1665 |
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| 0.1587 | 0.1 | 10 | 0.1619 |
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| 0.1361 | 0.15 | 15 | 0.1568 |
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| 0.1516 | 0.2 | 20 | 0.1486 |
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| 0.141 | 0.25 | 25 | 0.1429 |
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| 0.1292 | 0.3 | 30 | 0.1405 |
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| 0.1461 | 0.35 | 35 | 0.1374 |
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| 0.09 | 0.4 | 40 | 0.1351 |
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| 0.1149 | 0.45 | 45 | 0.1332 |
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| 0.1296 | 0.5 | 50 | 0.1325 |
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| 0.1069 | 1.05 | 55 | 0.1334 |
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| 0.1046 | 1.1 | 60 | 0.1320 |
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| 0.0969 | 1.15 | 65 | 0.1308 |
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| 0.1141 | 1.2 | 70 | 0.1304 |
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| 0.1182 | 1.25 | 75 | 0.1300 |
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| 0.1112 | 1.3 | 80 | 0.1297 |
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| 0.1278 | 1.35 | 85 | 0.1295 |
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| 0.0794 | 1.4 | 90 | 0.1295 |
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| 0.1067 | 1.45 | 95 | 0.1295 |
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| 0.1164 | 1.5 | 100 | 0.1295 |
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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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