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--- |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-3B-Instruct |
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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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model-index: |
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- name: llama-gsm-real-and-synthetic-sftsd0 |
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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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# llama-gsm-real-and-synthetic-sftsd0 |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9742 |
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- Num Input Tokens Seen: 3592016 |
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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: 8e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 0 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| No log | 0 | 0 | 1.5725 | 0 | |
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| 1.2448 | 0.0429 | 5 | 1.4163 | 158048 | |
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| 1.0428 | 0.0857 | 10 | 1.2385 | 310504 | |
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| 0.9981 | 0.1286 | 15 | 1.2024 | 463304 | |
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| 0.9389 | 0.1715 | 20 | 1.1632 | 614632 | |
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| 0.9091 | 0.2144 | 25 | 1.1256 | 770920 | |
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| 0.9176 | 0.2572 | 30 | 1.1003 | 924776 | |
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| 0.8873 | 0.3001 | 35 | 1.0791 | 1078728 | |
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| 0.8641 | 0.3430 | 40 | 1.0582 | 1226520 | |
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| 0.7978 | 0.3859 | 45 | 1.0406 | 1381640 | |
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| 0.7849 | 0.4287 | 50 | 1.0210 | 1535808 | |
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| 0.7892 | 0.4716 | 55 | 1.0047 | 1689112 | |
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| 0.747 | 0.5145 | 60 | 1.0008 | 1844416 | |
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| 0.7446 | 0.5573 | 65 | 0.9964 | 1996704 | |
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| 0.7652 | 0.6002 | 70 | 0.9885 | 2144184 | |
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| 0.7405 | 0.6431 | 75 | 0.9863 | 2302240 | |
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| 0.753 | 0.6860 | 80 | 0.9851 | 2467416 | |
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| 0.7522 | 0.7288 | 85 | 0.9806 | 2623776 | |
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| 0.7645 | 0.7717 | 90 | 0.9803 | 2778960 | |
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| 0.7327 | 0.8146 | 95 | 0.9795 | 2933976 | |
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| 0.7726 | 0.8574 | 100 | 0.9780 | 3089712 | |
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| 0.7622 | 0.9003 | 105 | 0.9747 | 3240232 | |
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| 0.7909 | 0.9432 | 110 | 0.9756 | 3402352 | |
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| 0.7459 | 0.9861 | 115 | 0.9739 | 3560928 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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