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tinyllama-lora-squad_16_5e-05_2_lora16_qvk
yahyaahmed/tinyllama-lora-squad_16_5e-05_2_lora16_qvk
tinyllama-lora-squad_16_5e-05_2_lora16_qvk is a machine learning model from yahyaahmed. 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
- Jun 9, 2025
- Updated
- Jun 9, 2025
- SHA
- 765a093d
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-squad_16_5e-05_2_lora16_qvk
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0069
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.7854 | 0.2002 | 124 | 0.0125 |
| 0.0106 | 0.4003 | 248 | 0.0097 |
| 0.009 | 0.6005 | 372 | 0.0085 |
| 0.0082 | 0.8006 | 496 | 0.0077 |
| 0.0071 | 1.0016 | 620 | 0.0075 |
| 0.0065 | 1.2018 | 744 | 0.0074 |
| 0.0063 | 1.4019 | 868 | 0.0071 |
| 0.0061 | 1.6021 | 992 | 0.0069 |
| 0.0064 | 1.8023 | 1116 | 0.0069 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025