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train_multirc_123_1765085968

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_123_1765085968
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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_123_1765085968
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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: 0.4679
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+ - Num Input Tokens Seen: 264547520
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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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+ | 0.2291 | 1.0 | 6130 | 0.1683 | 13255424 |
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+ | 0.1362 | 2.0 | 12260 | 0.1537 | 26471216 |
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+ | 0.1127 | 3.0 | 18390 | 0.1624 | 39694112 |
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+ | 0.006 | 4.0 | 24520 | 0.1493 | 52929744 |
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+ | 0.1242 | 5.0 | 30650 | 0.1528 | 66152480 |
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+ | 0.0787 | 6.0 | 36780 | 0.1757 | 79389648 |
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+ | 0.0334 | 7.0 | 42910 | 0.1998 | 92621824 |
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+ | 0.0037 | 8.0 | 49040 | 0.1987 | 105830544 |
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+ | 0.0024 | 9.0 | 55170 | 0.2279 | 119047920 |
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+ | 0.0016 | 10.0 | 61300 | 0.2657 | 132272272 |
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+ | 0.0802 | 11.0 | 67430 | 0.2837 | 145487264 |
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+ | 0.1503 | 12.0 | 73560 | 0.3020 | 158737232 |
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+ | 0.0007 | 13.0 | 79690 | 0.3717 | 171979232 |
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+ | 0.0002 | 14.0 | 85820 | 0.3937 | 185199728 |
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+ | 0.0005 | 15.0 | 91950 | 0.4193 | 198426688 |
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+ | 0.0002 | 16.0 | 98080 | 0.4258 | 211640976 |
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+ | 0.0001 | 17.0 | 104210 | 0.4539 | 224870720 |
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+ | 0.0005 | 18.0 | 110340 | 0.4676 | 238102672 |
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+ | 0.0001 | 19.0 | 116470 | 0.4672 | 251320768 |
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+ | 0.0001 | 20.0 | 122600 | 0.4679 | 264547520 |
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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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