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--- |
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license: other |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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model-index: |
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- name: LLAMA3-8BI-APPS |
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results: [] |
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library_name: peft |
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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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# LLAMA3-8BI-APPS |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1490 |
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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: 5e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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_steps: 100 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.9027 | 0.1 | 100 | 0.9320 | |
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| 0.8632 | 0.2 | 200 | 0.9143 | |
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| 0.8572 | 0.3 | 300 | 1.0150 | |
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| 0.937 | 0.4 | 400 | 1.0545 | |
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| 1.0336 | 0.5 | 500 | 1.1029 | |
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| 1.0056 | 0.6 | 600 | 1.1267 | |
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| 1.0125 | 0.7 | 700 | 1.1307 | |
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| 1.028 | 0.8 | 800 | 1.1398 | |
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| 1.0692 | 0.9 | 900 | 1.1482 | |
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| 1.0361 | 1.0 | 1000 | 1.1490 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
