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train_multirc_1753094164

PEFT
Safetensors
llama-factory
lntuning
Generated from Trainer
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README.md ADDED
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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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+ - llama-factory
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+ - generated_from_trainer
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+ model-index:
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+ - name: train_multirc_1753094164
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+ results: []
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+ ---
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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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+
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+ # train_multirc_1753094164
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+
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1924
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+ - Num Input Tokens Seen: 132272272
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 123
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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: 10.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
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+ | 0.2959 | 0.5 | 3065 | 0.1770 | 6639424 |
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+ | 0.1984 | 1.0 | 6130 | 0.1572 | 13255424 |
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+ | 0.0889 | 1.5 | 9195 | 0.1520 | 19871232 |
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+ | 0.1146 | 2.0 | 12260 | 0.1492 | 26471216 |
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+ | 0.1268 | 2.5 | 15325 | 0.1545 | 33075856 |
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+ | 0.1007 | 3.0 | 18390 | 0.1629 | 39694112 |
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+ | 0.1521 | 3.5 | 21455 | 0.1603 | 46313216 |
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+ | 0.006 | 4.0 | 24520 | 0.1501 | 52929744 |
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+ | 0.3003 | 4.5 | 27585 | 0.1589 | 59549072 |
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+ | 0.1177 | 5.0 | 30650 | 0.1592 | 66152480 |
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+ | 0.0486 | 5.5 | 33715 | 0.1672 | 72765696 |
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+ | 0.0755 | 6.0 | 36780 | 0.1772 | 79389648 |
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+ | 0.0772 | 6.5 | 39845 | 0.1912 | 86008784 |
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+ | 0.0286 | 7.0 | 42910 | 0.1884 | 92621824 |
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+ | 0.1522 | 7.5 | 45975 | 0.1887 | 99237152 |
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+ | 0.0034 | 8.0 | 49040 | 0.1856 | 105830544 |
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+ | 0.0042 | 8.5 | 52105 | 0.1977 | 112458064 |
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+ | 0.0036 | 9.0 | 55170 | 0.1930 | 119047920 |
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+ | 0.1249 | 9.5 | 58235 | 0.1925 | 125686064 |
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+ | 0.0941 | 10.0 | 61300 | 0.1924 | 132272272 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.2
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+ - Transformers 4.51.3
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+ - Pytorch 2.7.1+cu126
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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