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ft-mistral-with-customize-ds-with-QLoRA
aisuko/ft-mistral-with-customize-ds-with-QLoRA
ft-mistral-with-customize-ds-with-QLoRA is a machine learning model from aisuko. 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
- Feb 4, 2024
- Updated
- Feb 4, 2024
- SHA
- d4f95f24
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. -->
ft-mistral-with-customize-ds-with-QLoRA
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2127
- F1 Micro: 0.7762
- F1 Macro: 0.5914
- F1 Weighted: 0.7707
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | F1 Weighted |
|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 0.3648 | 0.6954 | 0.4375 | 0.6497 |
| No log | 2.0 | 50 | 0.2530 | 0.7298 | 0.5400 | 0.7228 |
| No log | 3.0 | 75 | 0.2202 | 0.7470 | 0.5385 | 0.7400 |
| 0.4222 | 4.0 | 100 | 0.2127 | 0.7762 | 0.5914 | 0.7707 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.1
- Library
- peft
- License
- apache-2.0
- Created
- Feb 4, 2024
- Updated
- Feb 4, 2024