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train_record_42_1761196626

PEFT
Safetensors
llama-factory
p-tuning
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_record_42_1761196626
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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_record_42_1761196626
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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: 0.3050
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+ - Num Input Tokens Seen: 929295680
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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: 0.001
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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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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+
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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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+ | 0.2884 | 1.0 | 31242 | 0.3315 | 46467680 |
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+ | 0.4324 | 2.0 | 62484 | 0.2958 | 92922208 |
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+ | 0.1934 | 3.0 | 93726 | 0.2884 | 139391296 |
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+ | 0.261 | 4.0 | 124968 | 0.2816 | 185843712 |
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+ | 0.2624 | 5.0 | 156210 | 0.2778 | 232305472 |
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+ | 0.283 | 6.0 | 187452 | 0.2737 | 278763136 |
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+ | 0.2666 | 7.0 | 218694 | 0.2717 | 325229440 |
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+ | 0.353 | 8.0 | 249936 | 0.2705 | 371696128 |
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+ | 0.2528 | 9.0 | 281178 | 0.2710 | 418155040 |
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+ | 0.2807 | 10.0 | 312420 | 0.2715 | 464625760 |
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+ | 0.25 | 11.0 | 343662 | 0.2744 | 511102336 |
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+ | 0.1786 | 12.0 | 374904 | 0.2725 | 557571936 |
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+ | 0.2782 | 13.0 | 406146 | 0.2775 | 604043392 |
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+ | 0.1822 | 14.0 | 437388 | 0.2821 | 650494080 |
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+ | 0.2032 | 15.0 | 468630 | 0.2881 | 696961792 |
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+ | 0.1939 | 16.0 | 499872 | 0.2911 | 743437824 |
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+ | 0.1907 | 17.0 | 531114 | 0.2977 | 789906944 |
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+ | 0.1524 | 18.0 | 562356 | 0.3009 | 836372000 |
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+ | 0.1492 | 19.0 | 593598 | 0.3042 | 882831072 |
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+ | 0.1799 | 20.0 | 624840 | 0.3050 | 929295680 |
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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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