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train_boolq_123_1762628463

PEFT
Safetensors
llama-factory
ia3
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_boolq_123_1762628463
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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_boolq_123_1762628463
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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: 0.1539
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+ - Num Input Tokens Seen: 42678144
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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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+ | 0.2441 | 1.0 | 2121 | 0.2164 | 2131904 |
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+ | 0.1636 | 2.0 | 4242 | 0.1829 | 4264768 |
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+ | 0.1143 | 3.0 | 6363 | 0.1703 | 6404896 |
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+ | 0.1735 | 4.0 | 8484 | 0.1635 | 8537088 |
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+ | 0.1825 | 5.0 | 10605 | 0.1568 | 10677088 |
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+ | 0.1657 | 6.0 | 12726 | 0.1543 | 12814080 |
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+ | 0.0268 | 7.0 | 14847 | 0.1509 | 14950432 |
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+ | 0.0805 | 8.0 | 16968 | 0.1509 | 17082336 |
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+ | 0.3383 | 9.0 | 19089 | 0.1519 | 19211360 |
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+ | 0.0432 | 10.0 | 21210 | 0.1517 | 21342336 |
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+ | 0.14 | 11.0 | 23331 | 0.1514 | 23472352 |
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+ | 0.0925 | 12.0 | 25452 | 0.1521 | 25602144 |
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+ | 0.0795 | 13.0 | 27573 | 0.1525 | 27739072 |
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+ | 0.0417 | 14.0 | 29694 | 0.1518 | 29880544 |
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+ | 0.0246 | 15.0 | 31815 | 0.1537 | 32013760 |
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+ | 0.0928 | 16.0 | 33936 | 0.1536 | 34138272 |
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+ | 0.0424 | 17.0 | 36057 | 0.1527 | 36269152 |
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+ | 0.1512 | 18.0 | 38178 | 0.1529 | 38408800 |
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+ | 0.0632 | 19.0 | 40299 | 0.1531 | 40541312 |
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+ | 0.0778 | 20.0 | 42420 | 0.1539 | 42678144 |
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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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