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peft-lora-starcoder1B-Instruction-ny8-MIX
ZiHDeng/peft-lora-starcoder1B-Instruction-ny8-MIX
peft-lora-starcoder1B-Instruction-ny8-MIX 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. --
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At a glance
- Library
- peft
- License
- bigcode-openrail-m
- Access
- Public
- Created
- Jan 29, 2024
- Updated
- Jan 30, 2024
- SHA
- 9fabba88
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-MIX
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: 0.1670
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: 150
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1662 | 0.67 | 100 | 0.1670 |
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 30, 2024