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train_piqa_1754507485

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_piqa_1754507485
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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_piqa_1754507485
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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: 0.1620
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+ - Num Input Tokens Seen: 22103448
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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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+ | 0.2639 | 0.5 | 1813 | 0.1444 | 1118368 |
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+ | 0.0831 | 1.0 | 3626 | 0.1175 | 2216600 |
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+ | 0.1061 | 1.5 | 5439 | 0.1138 | 3320792 |
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+ | 0.0529 | 2.0 | 7252 | 0.1122 | 4419000 |
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+ | 0.1256 | 2.5 | 9065 | 0.1134 | 5525176 |
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+ | 0.111 | 3.0 | 10878 | 0.1149 | 6628280 |
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+ | 0.0669 | 3.5 | 12691 | 0.1314 | 7736376 |
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+ | 0.0898 | 4.0 | 14504 | 0.1165 | 8844408 |
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+ | 0.0717 | 4.5 | 16317 | 0.1297 | 9951832 |
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+ | 0.0139 | 5.0 | 18130 | 0.1254 | 11048200 |
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+ | 0.042 | 5.5 | 19943 | 0.1346 | 12157032 |
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+ | 0.0054 | 6.0 | 21756 | 0.1426 | 13257624 |
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+ | 0.0593 | 6.5 | 23569 | 0.1500 | 14360952 |
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+ | 0.1229 | 7.0 | 25382 | 0.1525 | 15468632 |
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+ | 0.0529 | 7.5 | 27195 | 0.1517 | 16574840 |
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+ | 0.0551 | 8.0 | 29008 | 0.1577 | 17678024 |
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+ | 0.05 | 8.5 | 30821 | 0.1586 | 18780040 |
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+ | 0.0687 | 9.0 | 32634 | 0.1605 | 19894712 |
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+ | 0.0618 | 9.5 | 34447 | 0.1612 | 21014840 |
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+ | 0.0012 | 10.0 | 36260 | 0.1620 | 22103448 |
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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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