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Mistral-7B-v0.1-ICD-Expert-QLoRA-test-2
pmorelr/Mistral-7B-v0.1-ICD-Expert-QLoRA-test-2
Mistral-7B-v0.1-ICD-Expert-QLoRA-test-2 is a machine learning model from pmorelr. 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
- Jan 25, 2024
- Updated
- Jan 26, 2024
- SHA
- 9c769bff
Base models
Datasets
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-7B-v0.1-ICD-Expert-QLoRA-test-2
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.6641
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8895 | 0.97 | 18 | 1.8383 |
| 1.749 | 1.99 | 37 | 1.7245 |
| 1.6948 | 2.96 | 55 | 1.6720 |
| 1.6684 | 3.88 | 72 | 1.6641 |
Framework versions
- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 25, 2024
- Updated
- Jan 26, 2024