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final_instruction_finetuned_llama2_7b
renadod/final_instruction_finetuned_llama2_7b
final_instruction_finetuned_llama2_7b is a machine learning model from renadod. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Apr 10, 2025
- Updated
- Apr 10, 2025
- SHA
- 11b399a4
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. -->
final_instruction_finetuned_llama2_7b
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7516
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7049 | 1.32 | 25 | 1.8464 |
| 1.5532 | 2.64 | 50 | 1.7587 |
| 1.4189 | 3.96 | 75 | 1.7518 |
| 1.4114 | 5.2667 | 100 | 1.7516 |
Framework versions
- PEFT 0.15.1
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- peft
- License
- llama2
- Created
- Apr 10, 2025
- Updated
- Apr 10, 2025