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--- |
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license: llama3.1 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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model-index: |
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- name: llama3_8b_instruct_BWRM |
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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_instruct_BWRM |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3034 |
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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: 32 |
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- total_train_batch_size: 1024 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.7965 | 0.1840 | 20 | 0.5969 | |
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| 0.6001 | 0.3680 | 40 | 0.5778 | |
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| 0.5739 | 0.5520 | 60 | 0.5419 | |
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| 0.5411 | 0.7361 | 80 | 0.4995 | |
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| 0.5147 | 0.9201 | 100 | 0.4758 | |
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| 0.45 | 1.1041 | 120 | 0.4148 | |
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| 0.4145 | 1.2881 | 140 | 0.4171 | |
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| 0.4011 | 1.4721 | 160 | 0.3753 | |
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| 0.371 | 1.6561 | 180 | 0.4154 | |
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| 0.3702 | 1.8401 | 200 | 0.3424 | |
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| 0.3438 | 2.0242 | 220 | 0.3332 | |
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| 0.3298 | 2.2082 | 240 | 0.3231 | |
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| 0.3185 | 2.3922 | 260 | 0.3174 | |
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| 0.3127 | 2.5762 | 280 | 0.3130 | |
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| 0.3073 | 2.7602 | 300 | 0.3060 | |
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| 0.3033 | 2.9442 | 320 | 0.3034 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
