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---
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library_name: peft
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B
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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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model-index:
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- name: Llama3-8B-SETBOX
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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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# Llama3-8B-SETBOX |
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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: nan |
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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: 0.0001 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.0 | 10.0 | 10 | nan | |
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| 0.0 | 20.0 | 20 | nan | |
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| 0.0 | 30.0 | 30 | nan | |
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| 0.0 | 40.0 | 40 | nan | |
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| 0.0 | 50.0 | 50 | nan | |
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| 0.0 | 60.0 | 60 | nan | |
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| 0.0 | 70.0 | 70 | nan | |
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| 0.0 | 80.0 | 80 | nan | |
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| 0.0 | 90.0 | 90 | nan | |
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| 0.0 | 100.0 | 100 | nan | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
