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peft-lora-DeciCoder1b-personal-copilot-A100-40GB-colab
smangrul/peft-lora-DeciCoder1b-personal-copilot-A100-40GB-colab
peft-lora-DeciCoder1b-personal-copilot-A100-40GB-colab is a machine learning model from smangrul. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 19, 2023
- Updated
- Aug 19, 2023
- SHA
- cd846ee1
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-DeciCoder1b-personal-copilot-A100-40GB-colab
This model is a fine-tuned version of Deci/DeciCoder-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3977
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- 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: 30
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.831 | 0.05 | 100 | 0.7074 |
| 0.7092 | 0.1 | 200 | 0.5904 |
| 0.6971 | 0.15 | 300 | 0.5637 |
| 0.8405 | 0.2 | 400 | 0.5363 |
| 0.6548 | 0.25 | 500 | 0.5126 |
| 0.6022 | 0.3 | 600 | 0.4634 |
| 0.6568 | 0.35 | 700 | 0.4529 |
| 0.87 | 0.4 | 800 | 0.4491 |
| 0.4818 | 0.45 | 900 | 0.4438 |
| 0.5067 | 0.5 | 1000 | 0.4117 |
| 0.4578 | 0.55 | 1100 | 0.4044 |
| 0.5909 | 0.6 | 1200 | 0.4041 |
| 0.3646 | 0.65 | 1300 | 0.4027 |
| 0.4597 | 0.7 | 1400 | 0.3963 |
| 0.3385 | 0.75 | 1500 | 0.3935 |
| 0.2696 | 0.8 | 1600 | 0.3955 |
| 0.3011 | 0.85 | 1700 | 0.3966 |
| 0.2931 | 0.9 | 1800 | 0.3980 |
| 0.2904 | 0.95 | 1900 | 0.3978 |
| 0.2669 | 1.0 | 2000 | 0.3977 |
Framework versions
- PEFT 0.5.0.dev0
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Library
- peft
- License
- apache-2.0
- Created
- Aug 19, 2023
- Updated
- Aug 19, 2023