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--- |
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license: other |
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library_name: peft |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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model-index: |
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- name: LangGPT |
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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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# LangGPT |
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This model is a fine-tuned version of [/datas/huggingface/Meta-Llama-3-8B-Instruct](https://huggingface.co//datas/huggingface/Meta-Llama-3-8B-Instruct) on the LangGPT dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7564 |
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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-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 96 |
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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: 20 |
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- num_epochs: 9.0 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8441 | 1.25 | 100 | 0.8462 | |
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| 0.7829 | 2.5 | 200 | 0.7942 | |
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| 0.747 | 3.75 | 300 | 0.7737 | |
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| 0.7507 | 5.0 | 400 | 0.7637 | |
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| 0.7327 | 6.25 | 500 | 0.7590 | |
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| 0.7331 | 7.5 | 600 | 0.7569 | |
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| 0.7396 | 8.75 | 700 | 0.7564 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.19.1 |
