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Mistral-7B-Instruct-v0.3-lora-math
yspkm/Mistral-7B-Instruct-v0.3-lora-math
Mistral-7B-Instruct-v0.3-lora-math is a machine learning model from yspkm. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jul 15, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 15, 2024
- Updated
- Jul 15, 2024
- SHA
- 642171b5
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-7B-Instruct-v0.3-lora-math
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3461
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3882 | 0.5133 | 200 | 0.3837 |
| 0.3388 | 1.0266 | 400 | 0.3599 |
| 0.3189 | 1.5399 | 600 | 0.3498 |
| 0.2659 | 2.0533 | 800 | 0.3459 |
| 0.269 | 2.5666 | 1000 | 0.3461 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- License
- apache-2.0
- Created
- Jul 15, 2024
- Updated
- Jul 15, 2024