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llama3_small_data
Gnomy19/llama3_small_data
llama3_small_data is a machine learning model from Gnomy19. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025
- SHA
- 68090711
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. -->
small
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the small_data_new_train dataset. It achieves the following results on the evaluation set:
- Loss: 1.4002
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.4 | 1 | 2.9306 |
| No log | 0.8 | 2 | 2.9292 |
| No log | 1.0 | 3 | 2.9292 |
| No log | 1.4 | 4 | 2.9132 |
| No log | 1.8 | 5 | 2.9042 |
| No log | 2.0 | 6 | 2.8854 |
| No log | 2.4 | 7 | 2.8500 |
| No log | 2.8 | 8 | 2.7950 |
| No log | 3.0 | 9 | 2.7950 |
| 2.7586 | 3.4 | 10 | 2.7017 |
| 2.7586 | 3.8 | 11 | 2.5546 |
| 2.7586 | 4.0 | 12 | 2.3694 |
| 2.7586 | 4.4 | 13 | 2.1354 |
| 2.7586 | 4.8 | 14 | 1.8584 |
| 2.7586 | 5.0 | 15 | 1.8584 |
| 2.7586 | 5.4 | 16 | 1.6423 |
| 2.7586 | 5.8 | 17 | 1.5388 |
| 2.7586 | 6.0 | 18 | 1.4914 |
| 2.7586 | 6.4 | 19 | 1.4529 |
| 1.3615 | 6.8 | 20 | 1.4321 |
| 1.3615 | 7.0 | 21 | 1.4321 |
| 1.3615 | 7.4 | 22 | 1.4145 |
| 1.3615 | 7.8 | 23 | 1.4052 |
| 1.3615 | 8.0 | 24 | 1.3982 |
| 1.3615 | 8.4 | 25 | 1.4006 |
| 1.3615 | 8.8 | 26 | 1.3924 |
| 1.3615 | 9.0 | 27 | 1.3924 |
| 1.3615 | 9.4 | 28 | 1.4008 |
| 1.3615 | 9.8 | 29 | 1.4002 |
Framework versions
- PEFT 0.15.1
- Transformers 4.51.1
- Pytorch 2.7.1+cu126
- Datasets 3.5.0
- Tokenizers 0.21.0
- Library
- peft
- License
- other
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025