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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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datasets: |
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- hansh/hansken_hql |
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library_name: peft |
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license: llama3.1 |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: hansken_human_hql |
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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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# hansken_human_hql |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) on the hansh/hansken_hql dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2362 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4508 | 0.9976 | 102 | 0.4433 | |
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| 0.302 | 1.9951 | 204 | 0.3140 | |
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| 0.2692 | 2.9927 | 306 | 0.2616 | |
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| 0.177 | 4.0 | 409 | 0.2431 | |
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| 0.1616 | 4.9976 | 511 | 0.2362 | |
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| 0.1358 | 5.9951 | 613 | 0.2394 | |
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| 0.1199 | 6.9927 | 715 | 0.2474 | |
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| 0.1051 | 8.0 | 818 | 0.2625 | |
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| 0.0945 | 8.9976 | 920 | 0.2797 | |
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| 0.0843 | 9.9951 | 1022 | 0.2892 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
