Downloads · 30 days
10
23% of all-time downloads
peft-lora-starcoder1B-Instruction-ny8-FIM
ZiHDeng/peft-lora-starcoder1B-Instruction-ny8-FIM
peft-lora-starcoder1B-Instruction-ny8-FIM is a machine learning model from ZiHDeng. 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
43
Public
Repo size
1.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors178 MB · 100%
At a glance
- Library
- peft
- License
- bigcode-openrail-m
- Access
- Public
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024
- SHA
- 5a069c63
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. -->
peft-lora-starcoder1B-Instruction-ny8-FIM
This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7334
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4136 | 0.05 | 100 | 0.4006 |
| 0.3674 | 0.1 | 200 | 0.3744 |
| 0.3428 | 0.15 | 300 | 0.3908 |
| 0.2882 | 0.2 | 400 | 0.4563 |
| 0.2344 | 0.25 | 500 | 0.5462 |
| 0.2087 | 0.3 | 600 | 0.5874 |
| 0.1942 | 0.35 | 700 | 0.6157 |
| 0.1865 | 0.4 | 800 | 0.6388 |
| 0.1813 | 0.45 | 900 | 0.6572 |
| 0.1783 | 0.5 | 1000 | 0.6639 |
| 0.1711 | 0.55 | 1100 | 0.6755 |
| 0.166 | 0.6 | 1200 | 0.6996 |
| 0.1613 | 0.65 | 1300 | 0.7046 |
| 0.1597 | 0.7 | 1400 | 0.7062 |
| 0.1545 | 0.75 | 1500 | 0.7185 |
| 0.1532 | 0.8 | 1600 | 0.7227 |
| 0.1499 | 0.85 | 1700 | 0.7315 |
| 0.151 | 0.9 | 1800 | 0.7326 |
| 0.1494 | 0.95 | 1900 | 0.7333 |
| 0.1506 | 1.0 | 2000 | 0.7334 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- bigcode-openrail-m
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024