Downloads · 30 days
8
8% of all-time downloads
starcoder-c2py-testprogram
jlpan/starcoder-c2py-testprogram
starcoder-c2py-testprogram 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. It is set up for peft. The card lists the license as bigcode-openrail-m.
should probably proofread and complete it, then remove this comment. --
All-time downloads
104
Public
Repo size
35.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin35.6 MB · 100%
At a glance
- Library
- peft
- License
- bigcode-openrail-m
- Access
- Public
- Created
- Aug 28, 2023
- Updated
- Aug 28, 2023
- SHA
- a6ae2e49
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-testprogram
This model is a fine-tuned version of bigcode/starcoder on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1295
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: 10
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1742 | 0.05 | 5 | 0.1665 |
| 0.1587 | 0.1 | 10 | 0.1619 |
| 0.1361 | 0.15 | 15 | 0.1568 |
| 0.1516 | 0.2 | 20 | 0.1486 |
| 0.141 | 0.25 | 25 | 0.1429 |
| 0.1292 | 0.3 | 30 | 0.1405 |
| 0.1461 | 0.35 | 35 | 0.1374 |
| 0.09 | 0.4 | 40 | 0.1351 |
| 0.1149 | 0.45 | 45 | 0.1332 |
| 0.1296 | 0.5 | 50 | 0.1325 |
| 0.1069 | 1.05 | 55 | 0.1334 |
| 0.1046 | 1.1 | 60 | 0.1320 |
| 0.0969 | 1.15 | 65 | 0.1308 |
| 0.1141 | 1.2 | 70 | 0.1304 |
| 0.1182 | 1.25 | 75 | 0.1300 |
| 0.1112 | 1.3 | 80 | 0.1297 |
| 0.1278 | 1.35 | 85 | 0.1295 |
| 0.0794 | 1.4 | 90 | 0.1295 |
| 0.1067 | 1.45 | 95 | 0.1295 |
| 0.1164 | 1.5 | 100 | 0.1295 |
Framework versions
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- peft
- License
- bigcode-openrail-m
- Created
- Aug 28, 2023
- Updated
- Aug 28, 2023