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tinyllama-lora-squad_4_2e-04_2_lora8_qvk
yahyaahmed/tinyllama-lora-squad_4_2e-04_2_lora8_qvk
tinyllama-lora-squad_4_2e-04_2_lora8_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 8, 2025
- Updated
- Jun 8, 2025
- SHA
- 342a23a6
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_4_2e-04_2_lora8_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: nan
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- 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: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0057 | 0.2 | 250 | nan |
| 0.006 | 0.4 | 500 | nan |
| 0.0045 | 0.6 | 750 | nan |
| 0.0036 | 0.8 | 1000 | nan |
| 0.0048 | 1.0 | 1250 | nan |
| 0.0038 | 1.2 | 1500 | nan |
| 0.004 | 1.4 | 1750 | nan |
| 0.0034 | 1.6 | 2000 | nan |
| 0.0037 | 1.8 | 2250 | nan |
| 0.0032 | 2.0 | 2500 | nan |
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 8, 2025
- Updated
- Jun 8, 2025