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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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datasets: |
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- generator |
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base_model: NousResearch/Llama-2-7b-hf |
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model-index: |
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- name: tiny_llama_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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# llama_2_7b_hf_instruct_generation |
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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: 1.8500 |
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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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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.0445 | 0.01 | 20 | 2.0291 | |
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| 1.9813 | 0.01 | 40 | 1.9775 | |
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| 1.9752 | 0.02 | 60 | 1.9477 | |
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| 1.953 | 0.02 | 80 | 1.8977 | |
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| 1.9054 | 0.03 | 100 | 1.8774 | |
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| 1.8665 | 0.03 | 120 | 1.8699 | |
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| 1.845 | 0.04 | 140 | 1.8648 | |
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| 1.8487 | 0.04 | 160 | 1.8626 | |
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| 1.8557 | 0.05 | 180 | 1.8604 | |
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| 1.8451 | 0.06 | 200 | 1.8589 | |
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| 1.8557 | 0.06 | 220 | 1.8578 | |
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| 1.7733 | 0.07 | 240 | 1.8570 | |
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| 1.8652 | 0.07 | 260 | 1.8562 | |
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| 1.8178 | 0.08 | 280 | 1.8552 | |
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| 1.8102 | 0.08 | 300 | 1.8546 | |
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| 1.8275 | 0.09 | 320 | 1.8541 | |
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| 1.8405 | 0.1 | 340 | 1.8533 | |
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| 1.8319 | 0.1 | 360 | 1.8530 | |
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| 1.8411 | 0.11 | 380 | 1.8526 | |
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| 1.8562 | 0.11 | 400 | 1.8520 | |
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| 1.8505 | 0.12 | 420 | 1.8516 | |
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| 1.8132 | 0.12 | 440 | 1.8514 | |
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| 1.901 | 0.13 | 460 | 1.8509 | |
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| 1.8138 | 0.13 | 480 | 1.8506 | |
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| 1.8209 | 0.14 | 500 | 1.8500 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
