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sft-mistral-7b-vi-math-v1-clean-valid
BaoLocTown/sft-mistral-7b-vi-math-v1-clean-valid
sft-mistral-7b-vi-math-v1-clean-valid is a machine learning model from BaoLocTown. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Model type
- mistral
- Access
- Public
- Created
- Dec 30, 2023
- Updated
- Dec 30, 2023
- SHA
- 5ff4c407
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. -->
sft-mistral-7b-vi-math-v1-clean-valid
This model is a fine-tuned version of hllj/Mistral-7B-Vi-Math on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4370
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2954 | 1.04 | 1000 | 0.4506 |
Framework versions
- PEFT 0.5.0
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- peft
- Type
- mistral
- Created
- Dec 30, 2023
- Updated
- Dec 30, 2023