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MunicipalPredictionModel-TinyLlama
xammi/MunicipalPredictionModel-TinyLlama
MunicipalPredictionModel-TinyLlama is a machine learning model from xammi. 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
- Sep 23, 2024
- Updated
- Sep 26, 2024
- SHA
- f90aa2e6
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. -->
MunicipalPredictionModel-TinyLlama
This model is a fine-tuned version of unsloth/tinyllama-chat-bnb-4bit on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.3521
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8522 | 0.0377 | 10 | 3.0444 |
| 2.7085 | 0.0753 | 20 | 2.4069 |
| 2.191 | 0.1130 | 30 | 2.0027 |
| 1.8996 | 0.1507 | 40 | 1.8018 |
| 1.7538 | 0.1883 | 50 | 1.6850 |
| 1.6563 | 0.2260 | 60 | 1.6161 |
| 1.6275 | 0.2637 | 70 | 1.5722 |
| 1.5313 | 0.3013 | 80 | 1.5377 |
| 1.5277 | 0.3390 | 90 | 1.5104 |
| 1.5039 | 0.3766 | 100 | 1.4889 |
| 1.4768 | 0.4143 | 110 | 1.4694 |
| 1.4552 | 0.4520 | 120 | 1.4523 |
| 1.4481 | 0.4896 | 130 | 1.4385 |
| 1.4223 | 0.5273 | 140 | 1.4233 |
| 1.4145 | 0.5650 | 150 | 1.4118 |
| 1.4207 | 0.6026 | 160 | 1.4012 |
| 1.4004 | 0.6403 | 170 | 1.3925 |
| 1.4316 | 0.6780 | 180 | 1.3849 |
| 1.3841 | 0.7156 | 190 | 1.3784 |
| 1.3747 | 0.7533 | 200 | 1.3722 |
| 1.388 | 0.7910 | 210 | 1.3665 |
| 1.3508 | 0.8286 | 220 | 1.3623 |
| 1.386 | 0.8663 | 230 | 1.3586 |
| 1.3605 | 0.9040 | 240 | 1.3555 |
| 1.369 | 0.9416 | 250 | 1.3534 |
| 1.3645 | 0.9793 | 260 | 1.3521 |
Framework versions
- PEFT 0.12.0
- Transformers 4.43.4
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.0
- Library
- peft
- License
- apache-2.0
- Created
- Sep 23, 2024
- Updated
- Sep 26, 2024