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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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library_name: peft |
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license: llama3.1 |
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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: llama-edu |
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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-edu |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7934 |
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- Model Preparation Time: 0.0161 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_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: linear |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | |
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|:-------------:|:------:|:----:|:---------------:|:----------------------:| |
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| 2.2418 | 1.0256 | 20 | 2.0564 | 0.0161 | |
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| 1.2511 | 2.0513 | 40 | 1.2006 | 0.0161 | |
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| 0.9906 | 3.0769 | 60 | 0.9552 | 0.0161 | |
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| 0.8046 | 4.1026 | 80 | 0.8716 | 0.0161 | |
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| 0.7893 | 5.1282 | 100 | 0.8376 | 0.0161 | |
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| 0.8012 | 6.1538 | 120 | 0.8167 | 0.0161 | |
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| 0.7734 | 7.1795 | 140 | 0.8038 | 0.0161 | |
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| 0.78 | 8.2051 | 160 | 0.7970 | 0.0161 | |
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| 0.7576 | 9.2308 | 180 | 0.7939 | 0.0161 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
