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mistral_logical_3k_data
Nazneen39/mistral_logical_3k_data
mistral_logical_3k_data is a machine learning model from Nazneen39. 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 22, 2025
- Updated
- Feb 22, 2025
- SHA
- 1fd36974
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_logical_3k_data
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: 0.0373
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0583 | 0.2963 | 50 | 0.0501 |
| 0.0409 | 0.5926 | 100 | 0.0409 |
| 0.1111 | 0.8889 | 150 | 0.1679 |
| 0.1588 | 1.1896 | 200 | 0.0498 |
| 0.2175 | 1.4859 | 250 | 0.0589 |
| 0.1318 | 1.7822 | 300 | 0.3170 |
| 0.0651 | 2.0830 | 350 | 0.0869 |
| 0.0707 | 2.3793 | 400 | 0.0603 |
| 0.0693 | 2.6756 | 450 | 0.0518 |
| 0.0467 | 2.9719 | 500 | 0.0475 |
| 0.0422 | 3.2726 | 550 | 0.0411 |
| 0.0379 | 3.5689 | 600 | 0.0395 |
| 0.0386 | 3.8652 | 650 | 0.0392 |
| 0.038 | 4.1659 | 700 | 0.0384 |
| 0.038 | 4.4622 | 750 | 0.0383 |
| 0.0364 | 4.7585 | 800 | 0.0380 |
| 0.0396 | 5.0593 | 850 | 0.0377 |
| 0.0361 | 5.3556 | 900 | 0.0375 |
| 0.0372 | 5.6519 | 950 | 0.0374 |
| 0.0375 | 5.9481 | 1000 | 0.0374 |
| 0.0375 | 6.2489 | 1050 | 0.0373 |
| 0.0364 | 6.5452 | 1100 | 0.0373 |
| 0.0365 | 6.8415 | 1150 | 0.0373 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Feb 22, 2025
- Updated
- Feb 22, 2025