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tinyllama-lora
snow-leaoprd/tinyllama-lora
tinyllama-lora is a text generation model from snow-leaoprd. Use it when you need the model to write or continue text. 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
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026
- SHA
- df8f075a
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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. -->
tinyllama-lora
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4524
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1542 | 1.0 | 23 | 1.2845 |
| 0.9753 | 2.0 | 46 | 0.8092 |
| 0.3050 | 3.0 | 69 | 0.5513 |
| 0.6369 | 4.0 | 92 | 0.4946 |
| 0.5442 | 5.0 | 115 | 0.4712 |
| 0.3838 | 6.0 | 138 | 0.4623 |
| 0.2444 | 7.0 | 161 | 0.4562 |
| 0.5124 | 8.0 | 184 | 0.4537 |
| 0.4574 | 9.0 | 207 | 0.4522 |
| 0.2260 | 10.0 | 230 | 0.4524 |
Framework versions
- PEFT 0.19.1
- Transformers 5.13.0
- Pytorch 2.13.0
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026