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Mistral-7B-text-to-sql-flash-attention-2-FAISS-NEWPOC
frankmorales2020/Mistral-7B-text-to-sql-flash-attention-2-FAISS-NEWPOC
Mistral-7B-text-to-sql-flash-attention-2-FAISS-NEWPOC is a machine learning model from frankmorales2020. 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 5, 2024
- Updated
- Jul 5, 2024
- SHA
- 1f00d3ec
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-text-to-sql-flash-attention-2-FAISS-NEWPOC
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.5718
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: 1.25e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 15
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6025 | 2.1053 | 10 | 1.3983 |
| 1.2594 | 4.2105 | 20 | 1.1677 |
| 1.1238 | 6.3158 | 30 | 1.0695 |
| 1.0331 | 8.4211 | 40 | 0.9917 |
| 0.9668 | 10.5263 | 50 | 0.9300 |
| 0.9064 | 12.6316 | 60 | 0.8783 |
| 0.8569 | 14.7368 | 70 | 0.8309 |
| 0.8099 | 16.8421 | 80 | 0.7842 |
| 0.7632 | 18.9474 | 90 | 0.7365 |
| 0.7188 | 21.0526 | 100 | 0.6991 |
| 0.6855 | 23.1579 | 110 | 0.6714 |
| 0.6587 | 25.2632 | 120 | 0.6492 |
| 0.6383 | 27.3684 | 130 | 0.6312 |
| 0.6206 | 29.4737 | 140 | 0.6171 |
| 0.6077 | 31.5789 | 150 | 0.6062 |
| 0.5964 | 33.6842 | 160 | 0.5973 |
| 0.5881 | 35.7895 | 170 | 0.5898 |
| 0.5805 | 37.8947 | 180 | 0.5831 |
| 0.5732 | 40.0 | 190 | 0.5771 |
| 0.5665 | 42.1053 | 200 | 0.5718 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jul 5, 2024
- Updated
- Jul 5, 2024