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train_record_123_1762842639

PEFT
Safetensors
llama-factory
prompt-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_123_1762842639
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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_1762842639
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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: 0.2652
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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: 0.03
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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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+ | 0.2409 | 1.0 | 31242 | 0.3039 | 46454112 |
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+ | 0.211 | 2.0 | 62484 | 0.2902 | 92908288 |
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+ | 0.2231 | 3.0 | 93726 | 0.2760 | 139351808 |
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+ | 0.3213 | 4.0 | 124968 | 0.2724 | 185790304 |
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+ | 0.2175 | 5.0 | 156210 | 0.2702 | 232243968 |
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+ | 0.2327 | 6.0 | 187452 | 0.2654 | 278686752 |
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+ | 0.1622 | 7.0 | 218694 | 0.2658 | 325137568 |
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+ | 0.1921 | 8.0 | 249936 | 0.2618 | 371592704 |
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+ | 0.2513 | 9.0 | 281178 | 0.2605 | 418033696 |
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+ | 0.3235 | 10.0 | 312420 | 0.2605 | 464483424 |
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+ | 0.2183 | 11.0 | 343662 | 0.2606 | 510926720 |
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+ | 0.1613 | 12.0 | 374904 | 0.2596 | 557369088 |
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+ | 0.2271 | 13.0 | 406146 | 0.2637 | 603816992 |
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+ | 0.2063 | 14.0 | 437388 | 0.2668 | 650269248 |
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+ | 0.1615 | 15.0 | 468630 | 0.2642 | 696727936 |
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+ | 0.2825 | 16.0 | 499872 | 0.2652 | 743174112 |
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+ | 0.2106 | 17.0 | 531114 | 0.2652 | 789614720 |
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+ | 0.1414 | 18.0 | 562356 | 0.2654 | 836057280 |
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+ | 0.1918 | 19.0 | 593598 | 0.2651 | 882504192 |
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+ | 0.1534 | 20.0 | 624840 | 0.2652 | 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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