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TinyMistral-specific
Dhanunjaiah/TinyMistral-specific
TinyMistral-specific is a machine learning model from Dhanunjaiah. 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
- Dec 12, 2024
- Updated
- Dec 12, 2024
- SHA
- a7aa189e
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. -->
TinyMistral-specific
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1303
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: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7544 | 0.8696 | 5 | 1.5407 |
| 1.2972 | 1.9130 | 11 | 1.4199 |
| 1.1837 | 2.9565 | 17 | 1.3079 |
| 1.0986 | 4.0 | 23 | 1.2449 |
| 1.2391 | 4.8696 | 28 | 1.2003 |
| 0.9802 | 5.9130 | 34 | 1.1638 |
| 0.943 | 6.9565 | 40 | 1.1435 |
| 0.9174 | 8.0 | 46 | 1.1338 |
| 0.9462 | 8.6957 | 50 | 1.1303 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
- Library
- peft
- License
- apache-2.0
- Created
- Dec 12, 2024
- Updated
- Dec 12, 2024