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--- |
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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 |
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model-index: |
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- name: Llama3_AAID_mixed_train_final |
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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_AAID_mixed_train_final |
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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 the AAID_mixed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8113 |
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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: 0.0003 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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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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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.0078 | 0.0109 | 10 | 0.9146 | |
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| 0.5077 | 0.0219 | 20 | 0.8363 | |
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| 0.4613 | 0.0328 | 30 | 0.8338 | |
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| 0.4794 | 0.0438 | 40 | 0.8337 | |
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| 0.4624 | 0.0547 | 50 | 0.8181 | |
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| 0.4366 | 0.0656 | 60 | 0.8187 | |
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| 0.4323 | 0.0766 | 70 | 0.8172 | |
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| 0.433 | 0.0875 | 80 | 0.8255 | |
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| 0.4401 | 0.0984 | 90 | 0.8300 | |
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| 0.4019 | 0.1094 | 100 | 0.8479 | |
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| 0.4112 | 0.1203 | 110 | 0.8113 | |
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| 0.4009 | 0.1313 | 120 | 0.8454 | |
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| 0.4023 | 0.1422 | 130 | 0.8435 | |
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| 0.3924 | 0.1531 | 140 | 0.8308 | |
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| 0.4079 | 0.1641 | 150 | 0.8372 | |
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| 0.3898 | 0.1750 | 160 | 0.8542 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
