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---
license: bigcode-openrail-m
base_model: bigcode/starcoder
tags:
- generated_from_trainer
model-index:
- name: starcoder-c2py-program1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# starcoder-c2py-program1
This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1286
## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- training_steps: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1633 | 0.1 | 5 | 0.1505 |
| 0.1413 | 0.2 | 10 | 0.1443 |
| 0.1221 | 0.3 | 15 | 0.1401 |
| 0.14 | 0.4 | 20 | 0.1369 |
| 0.1337 | 0.5 | 25 | 0.1319 |
| 0.1271 | 0.6 | 30 | 0.1298 |
| 0.1412 | 0.7 | 35 | 0.1289 |
| 0.0901 | 0.8 | 40 | 0.1287 |
| 0.1158 | 0.9 | 45 | 0.1286 |
| 0.1313 | 1.0 | 50 | 0.1286 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3