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starcoder-c2py-snippet1
jlpan/starcoder-c2py-snippet1
starcoder-c2py-snippet1 is a machine learning model from jlpan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as bigcode-openrail-m.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Aug 28, 2023
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At a glance
- License
- bigcode-openrail-m
- Access
- Public
- Created
- Aug 28, 2023
- Updated
- Aug 28, 2023
- SHA
- e11d55a7
Base models
Model card
From the Hugging Face model README
<!-- 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-snippet1
This model is a fine-tuned version of bigcode/starcoder on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2601
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: 9e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|
| 7.249 | 0.2 | 10 | 2.0348 |
| 0.6338 | 0.4 | 20 | 0.5047 |
| 0.3306 | 0.6 | 30 | 0.3064 |
| 0.2144 | 1.07 | 40 | 0.2655 |
| 0.2195 | 1.27 | 50 | 0.2601 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- License
- bigcode-openrail-m
- Created
- Aug 28, 2023
- Updated
- Aug 28, 2023