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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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- trl |
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- sft |
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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: llama3.1_8b_bwgenerator |
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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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# llama3.1_8b_bwgenerator |
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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: 0.1141 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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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: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.1896 | 0.1214 | 20 | 0.3793 | |
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| 0.3219 | 0.2427 | 40 | 0.2798 | |
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| 0.2583 | 0.3641 | 60 | 0.2367 | |
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| 0.2204 | 0.4854 | 80 | 0.2002 | |
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| 0.1785 | 0.6068 | 100 | 0.1566 | |
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| 0.1488 | 0.7281 | 120 | 0.1404 | |
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| 0.1391 | 0.8495 | 140 | 0.1348 | |
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| 0.1332 | 0.9708 | 160 | 0.1310 | |
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| 0.1281 | 1.0922 | 180 | 0.1254 | |
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| 0.1246 | 1.2135 | 200 | 0.1229 | |
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| 0.1229 | 1.3349 | 220 | 0.1200 | |
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| 0.1202 | 1.4562 | 240 | 0.1179 | |
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| 0.1185 | 1.5776 | 260 | 0.1164 | |
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| 0.1166 | 1.6989 | 280 | 0.1154 | |
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| 0.1165 | 1.8203 | 300 | 0.1143 | |
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| 0.1155 | 1.9416 | 320 | 0.1141 | |
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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 2.14.7 |
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- Tokenizers 0.19.1 |
