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rbelanec
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train_qqp_1754652135

PEFT
Safetensors
llama-factory
prefix-tuning
Generated from Trainer
Model card Files
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  2. adapter_model.safetensors +1 -1
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_qqp_1754652135
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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_qqp_1754652135
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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: 0.1873
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+ - Num Input Tokens Seen: 250787112
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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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+ | 0.2031 | 0.5 | 40933 | 0.2528 | 12552544 |
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+ | 0.2786 | 1.0 | 81866 | 0.2403 | 25087944 |
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+ | 0.2791 | 1.5 | 122799 | 0.2292 | 37621672 |
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+ | 0.2403 | 2.0 | 163732 | 0.2193 | 50164864 |
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+ | 0.2049 | 2.5 | 204665 | 0.2120 | 62700096 |
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+ | 0.1847 | 3.0 | 245598 | 0.2067 | 75242048 |
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+ | 0.181 | 3.5 | 286531 | 0.2104 | 87769248 |
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+ | 0.2662 | 4.0 | 327464 | 0.1999 | 100320328 |
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+ | 0.2374 | 4.5 | 368397 | 0.2003 | 112855464 |
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+ | 0.2511 | 5.0 | 409330 | 0.1927 | 125387608 |
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+ | 0.1266 | 5.5 | 450263 | 0.1914 | 137931704 |
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+ | 0.1893 | 6.0 | 491196 | 0.1936 | 150463800 |
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+ | 0.2127 | 6.5 | 532129 | 0.1902 | 163003576 |
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+ | 0.2026 | 7.0 | 573062 | 0.1895 | 175543400 |
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+ | 0.1628 | 7.5 | 613995 | 0.1886 | 188096200 |
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+ | 0.2036 | 8.0 | 654928 | 0.1866 | 200622552 |
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+ | 0.1424 | 8.5 | 695861 | 0.1876 | 213151000 |
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+ | 0.1818 | 9.0 | 736794 | 0.1872 | 225701792 |
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+ | 0.1845 | 9.5 | 777727 | 0.1875 | 238243968 |
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+ | 0.2161 | 10.0 | 818660 | 0.1873 | 250787112 |
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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 2.8.0+cu128
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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