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tinyllama-lora-squad_16_5e-04_2_lora16_qkv
yahyaahmed/tinyllama-lora-squad_16_5e-04_2_lora16_qkv
tinyllama-lora-squad_16_5e-04_2_lora16_qkv 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
- 63aaea56
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-04_2_lora16_qkv
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: 0.0045
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: 0.0005
- 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 |
|---|---|---|---|
| 2.0285 | 0.1995 | 217 | 0.0079 |
| 0.0055 | 0.3990 | 434 | 0.0061 |
| 0.0047 | 0.5985 | 651 | 0.0053 |
| 0.0043 | 0.7980 | 868 | 0.0049 |
| 0.0043 | 0.9975 | 1085 | 0.0048 |
| 0.0034 | 1.1967 | 1302 | 0.0048 |
| 0.0033 | 1.3962 | 1519 | 0.0046 |
| 0.0031 | 1.5957 | 1736 | 0.0047 |
| 0.0031 | 1.7952 | 1953 | 0.0045 |
| 0.0032 | 1.9947 | 2170 | 0.0045 |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- 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