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--- |
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library_name: peft |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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tags: |
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- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct |
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- llama-factory |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: train_winogrande_101112_1760638073 |
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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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# train_winogrande_101112_1760638073 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the winogrande dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0604 |
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- Num Input Tokens Seen: 38366624 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 101112 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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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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| 0.1899 | 1.0 | 9090 | 0.1525 | 1917952 | |
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| 0.0784 | 2.0 | 18180 | 0.0934 | 3835840 | |
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| 0.0395 | 3.0 | 27270 | 0.0797 | 5753152 | |
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| 0.2799 | 4.0 | 36360 | 0.0697 | 7672000 | |
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| 0.0141 | 5.0 | 45450 | 0.0657 | 9590080 | |
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| 0.1489 | 6.0 | 54540 | 0.0621 | 11509088 | |
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| 0.0257 | 7.0 | 63630 | 0.0613 | 13427712 | |
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| 0.008 | 8.0 | 72720 | 0.0637 | 15346672 | |
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| 0.0722 | 9.0 | 81810 | 0.0616 | 17265344 | |
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| 0.0662 | 10.0 | 90900 | 0.0604 | 19184224 | |
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| 0.0033 | 11.0 | 99990 | 0.0685 | 21102912 | |
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| 0.0008 | 12.0 | 109080 | 0.0705 | 23021312 | |
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| 0.002 | 13.0 | 118170 | 0.0719 | 24938688 | |
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| 0.0553 | 14.0 | 127260 | 0.0716 | 26857088 | |
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| 0.0197 | 15.0 | 136350 | 0.0733 | 28775840 | |
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| 0.0331 | 16.0 | 145440 | 0.0760 | 30693088 | |
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| 0.1504 | 17.0 | 154530 | 0.0764 | 32612480 | |
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| 0.0958 | 18.0 | 163620 | 0.0781 | 34530176 | |
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| 0.0019 | 19.0 | 172710 | 0.0784 | 36447600 | |
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| 0.0013 | 20.0 | 181800 | 0.0779 | 38366624 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.9.0+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
