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README.md CHANGED
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- library_name: transformers
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  tags:
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  - trl
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- # Model Card for Model ID
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- ## Model Details
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- ## How to Get Started with the Model
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  ---
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+ library_name: peft
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  tags:
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  - trl
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  - sft
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+ - generated_from_trainer
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+ base_model: NousResearch/Llama-2-7b-hf
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: llama2_instruct_generation
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+ results: []
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  ---
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # llama2_instruct_generation
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+
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+ This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6709
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+
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+ ## Model description
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+ More information needed
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+ ## Intended uses & limitations
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+ More information needed
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+
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+ ## Training and evaluation data
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+ More information needed
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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+ - lr_scheduler_warmup_steps: 0.03
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+ - training_steps: 500
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.9464 | 0.0027 | 20 | 1.8079 |
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+ | 1.8933 | 0.0054 | 40 | 1.7789 |
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+ | 1.8882 | 0.0081 | 60 | 1.7644 |
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+ | 1.7861 | 0.0108 | 80 | 1.7545 |
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+ | 1.7948 | 0.0135 | 100 | 1.7400 |
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+ | 1.8786 | 0.0163 | 120 | 1.7138 |
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+ | 1.8041 | 0.0190 | 140 | 1.7061 |
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+ | 1.713 | 0.0217 | 160 | 1.6969 |
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+ | 1.8453 | 0.0244 | 180 | 1.6944 |
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+ | 1.8526 | 0.0271 | 200 | 1.6914 |
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+ | 1.8792 | 0.0298 | 220 | 1.6907 |
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+ | 1.6989 | 0.0325 | 240 | 1.6874 |
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+ | 1.8333 | 0.0352 | 260 | 1.6868 |
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+ | 1.8608 | 0.0379 | 280 | 1.6847 |
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+ | 1.9045 | 0.0406 | 300 | 1.6830 |
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+ | 1.8614 | 0.0433 | 320 | 1.6822 |
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+ | 1.7854 | 0.0461 | 340 | 1.6801 |
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+ | 1.8538 | 0.0488 | 360 | 1.6783 |
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+ | 1.7165 | 0.0515 | 380 | 1.6766 |
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+ | 1.8302 | 0.0542 | 400 | 1.6782 |
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+ | 1.7844 | 0.0569 | 420 | 1.6761 |
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+ | 1.747 | 0.0596 | 440 | 1.6742 |
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+ | 1.7928 | 0.0623 | 460 | 1.6735 |
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+ | 1.7661 | 0.0650 | 480 | 1.6732 |
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+ | 1.7684 | 0.0677 | 500 | 1.6709 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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