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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-sftsd1 |
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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-sftsd1 |
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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: 0.9747 |
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- Num Input Tokens Seen: 3594944 |
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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: 1 |
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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 | 1.5937 | 0 | |
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| 1.2701 | 0.0429 | 5 | 1.4359 | 158456 | |
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| 1.0045 | 0.0857 | 10 | 1.2327 | 313520 | |
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| 1.0011 | 0.1286 | 15 | 1.1670 | 463960 | |
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| 0.9687 | 0.1715 | 20 | 1.1227 | 616216 | |
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| 0.8884 | 0.2144 | 25 | 1.1006 | 768608 | |
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| 0.879 | 0.2572 | 30 | 1.0785 | 933288 | |
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| 0.8624 | 0.3001 | 35 | 1.0626 | 1083272 | |
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| 0.8277 | 0.3430 | 40 | 1.0467 | 1244152 | |
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| 0.8307 | 0.3859 | 45 | 1.0267 | 1396808 | |
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| 0.791 | 0.4287 | 50 | 1.0107 | 1555096 | |
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| 0.7929 | 0.4716 | 55 | 1.0002 | 1710680 | |
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| 0.7695 | 0.5145 | 60 | 0.9954 | 1864128 | |
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| 0.7651 | 0.5573 | 65 | 0.9924 | 2018480 | |
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| 0.7788 | 0.6002 | 70 | 0.9886 | 2173056 | |
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| 0.7423 | 0.6431 | 75 | 0.9863 | 2326744 | |
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| 0.7635 | 0.6860 | 80 | 0.9835 | 2483616 | |
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| 0.7709 | 0.7288 | 85 | 0.9826 | 2640104 | |
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| 0.7663 | 0.7717 | 90 | 0.9797 | 2796664 | |
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| 0.7859 | 0.8146 | 95 | 0.9783 | 2950688 | |
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| 0.7699 | 0.8574 | 100 | 0.9772 | 3107872 | |
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| 0.7484 | 0.9003 | 105 | 0.9769 | 3258376 | |
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| 0.7532 | 0.9432 | 110 | 0.9740 | 3411448 | |
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| 0.7386 | 0.9861 | 115 | 0.9756 | 3567688 | |
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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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