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math-mistral-7b-r32
khiepm209/math-mistral-7b-r32
math-mistral-7b-r32 is a machine learning model from khiepm209. 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. --
Access
Public
Updated Nov 14, 2023
Repo size
38.3 GB
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 13, 2023
- Updated
- Nov 14, 2023
- SHA
- 1a1f09c6
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. -->
math-mistral-7b-r32
This model is a fine-tuned version of meta-math/MetaMath-Mistral-7B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4624
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: 2.55e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6354 | 0.21 | 1000 | 0.4892 |
| 0.5874 | 0.42 | 2000 | 0.4789 |
| 0.3006 | 0.63 | 3000 | 0.4694 |
| 0.2786 | 0.84 | 4000 | 0.4624 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Nov 13, 2023
- Updated
- Nov 14, 2023