Model save
Browse files- README.md +11 -10
- adapter_model.safetensors +1 -1
- all_results.json +5 -10
- runs/Sep13_22-50-54_nova.cs.ucla.edu/events.out.tfevents.1726293207.nova.cs.ucla.edu.4131510.0 +2 -2
- train_results.json +5 -5
- trainer_state.json +1858 -566
README.md
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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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# 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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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---
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base_model: meta-llama/Meta-Llama-3-8B
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library_name: peft
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license: llama3
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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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# 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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6655
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## Model description
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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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