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---
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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-finetuned-test_newProgram
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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-finetuned-test_newProgram
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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: 0.1046
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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: 8e-06
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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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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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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: 80
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- training_steps: 800
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.1341 | 0.06 | 50 | 0.1215 |
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| 0.1238 | 0.12 | 100 | 0.1098 |
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| 0.1157 | 1.01 | 150 | 0.1077 |
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| 0.1147 | 1.07 | 200 | 0.1068 |
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| 0.1147 | 1.13 | 250 | 0.1062 |
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| 0.1123 | 2.01 | 300 | 0.1059 |
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| 0.1121 | 2.07 | 350 | 0.1055 |
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| 0.1126 | 2.14 | 400 | 0.1052 |
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| 0.1106 | 3.02 | 450 | 0.1051 |
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| 0.1109 | 3.08 | 500 | 0.1049 |
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| 0.1125 | 3.14 | 550 | 0.1048 |
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| 0.1103 | 4.02 | 600 | 0.1047 |
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| 0.1104 | 4.08 | 650 | 0.1047 |
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| 0.1118 | 4.15 | 700 | 0.1047 |
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| 0.1095 | 5.03 | 750 | 0.1047 |
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| 0.1107 | 5.09 | 800 | 0.1046 |
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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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