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--- |
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base_model: meta-llama/Meta-Llama-3-8B |
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datasets: |
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- yihanwang617/WizardLM_70k_processed_indicator_unfiltered_4k |
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library_name: peft |
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license: llama3 |
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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: llama-3-qlora-wizard-processed-indicator-0.6 |
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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-3-qlora-wizard-processed-indicator-0.6 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the yihanwang617/WizardLM_70k_processed_indicator_unfiltered_4k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6652 |
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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: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.718 | 0.2225 | 200 | 0.7090 | |
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| 0.7205 | 0.4450 | 400 | 0.6897 | |
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| 0.7203 | 0.6675 | 600 | 0.6808 | |
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| 0.703 | 0.8900 | 800 | 0.6756 | |
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| 0.6759 | 1.1125 | 1000 | 0.6748 | |
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| 0.6533 | 1.3350 | 1200 | 0.6695 | |
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| 0.6458 | 1.5575 | 1400 | 0.6669 | |
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| 0.632 | 1.7800 | 1600 | 0.6655 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
