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Mistral-QLoRA-Adapters
dhanishetty/Mistral-QLoRA-Adapters
Mistral-QLoRA-Adapters is a machine learning model from dhanishetty. 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
- Jul 16, 2024
- Updated
- Jul 16, 2024
- SHA
- b607db10
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. -->
Mistral-QLoRA
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7712
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0043 | 0.2022 | 100 | 1.0068 |
| 0.8452 | 0.4044 | 200 | 0.8355 |
| 0.7876 | 0.6067 | 300 | 0.8093 |
| 0.8128 | 0.8089 | 400 | 0.7969 |
| 0.747 | 1.0111 | 500 | 0.7895 |
| 0.744 | 1.2133 | 600 | 0.7853 |
| 0.7757 | 1.4156 | 700 | 0.7797 |
| 0.7342 | 1.6178 | 800 | 0.7763 |
| 0.7338 | 1.8200 | 900 | 0.7736 |
| 0.707 | 2.0222 | 1000 | 0.7737 |
| 0.7021 | 2.2245 | 1100 | 0.7756 |
| 0.7102 | 2.4267 | 1200 | 0.7742 |
| 0.697 | 2.6289 | 1300 | 0.7735 |
| 0.7155 | 2.8311 | 1400 | 0.7712 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jul 16, 2024
- Updated
- Jul 16, 2024