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train_record_123_1764488339

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_record_123_1764488339
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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_123_1764488339
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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: 0.4152
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+ - Num Input Tokens Seen: 928969984
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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: 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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+ | 0.3783 | 1.0 | 31242 | 0.4132 | 46454112 |
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+ | 0.1702 | 2.0 | 62484 | 0.3343 | 92908288 |
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+ | 0.2465 | 3.0 | 93726 | 0.3134 | 139351808 |
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+ | 0.2857 | 4.0 | 124968 | 0.3068 | 185790304 |
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+ | 0.2238 | 5.0 | 156210 | 0.3049 | 232243968 |
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+ | 0.3226 | 6.0 | 187452 | 0.3025 | 278686752 |
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+ | 0.1501 | 7.0 | 218694 | 0.3084 | 325137568 |
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+ | 0.1268 | 8.0 | 249936 | 0.3293 | 371592704 |
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+ | 0.153 | 9.0 | 281178 | 0.3367 | 418033696 |
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+ | 0.3234 | 10.0 | 312420 | 0.3395 | 464483424 |
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+ | 0.1716 | 11.0 | 343662 | 0.3537 | 510926720 |
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+ | 0.132 | 12.0 | 374904 | 0.3737 | 557369088 |
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+ | 0.1981 | 13.0 | 406146 | 0.3715 | 603816992 |
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+ | 0.1742 | 14.0 | 437388 | 0.3835 | 650269248 |
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+ | 0.1907 | 15.0 | 468630 | 0.3917 | 696727936 |
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+ | 0.2175 | 16.0 | 499872 | 0.3995 | 743174112 |
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+ | 0.2167 | 17.0 | 531114 | 0.4046 | 789614720 |
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+ | 0.0844 | 18.0 | 562356 | 0.4149 | 836057280 |
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+ | 0.1003 | 19.0 | 593598 | 0.4158 | 882504192 |
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+ | 0.1092 | 20.0 | 624840 | 0.4152 | 928969984 |
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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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