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fine-tuning-tinymistral
mrabbah/fine-tuning-tinymistral
fine-tuning-tinymistral is a machine learning model from mrabbah. 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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Repo size
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Dec 28, 2023
- Updated
- Dec 28, 2023
- SHA
- b5b1e01d
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_instruct_generation
This model is a fine-tuned version of Felladrin/TinyMistral-248M-SFT-v4 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.0138
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5295 | 1.0 | 123 | 2.1771 |
| 2.4314 | 2.0 | 246 | 2.0629 |
| 2.403 | 3.0 | 369 | 2.0354 |
| 2.3605 | 4.0 | 492 | 2.0222 |
| 2.3647 | 5.0 | 615 | 2.0138 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Dec 28, 2023
- Updated
- Dec 28, 2023