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train_cola_1757340238

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_cola_1757340238
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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_cola_1757340238
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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: 0.1530
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+ - Num Input Tokens Seen: 3663512
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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: 789
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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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+ | 0.0737 | 0.5 | 962 | 0.2573 | 182656 |
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+ | 0.2517 | 1.0 | 1924 | 0.1771 | 365728 |
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+ | 0.2159 | 1.5 | 2886 | 0.1765 | 548992 |
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+ | 0.1765 | 2.0 | 3848 | 0.1651 | 731984 |
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+ | 0.1305 | 2.5 | 4810 | 0.1704 | 915792 |
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+ | 0.33 | 3.0 | 5772 | 0.1675 | 1098920 |
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+ | 0.0959 | 3.5 | 6734 | 0.1576 | 1281640 |
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+ | 0.1044 | 4.0 | 7696 | 0.1552 | 1465464 |
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+ | 0.1593 | 4.5 | 8658 | 0.1579 | 1649720 |
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+ | 0.071 | 5.0 | 9620 | 0.1549 | 1831920 |
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+ | 0.1529 | 5.5 | 10582 | 0.1570 | 2014928 |
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+ | 0.1885 | 6.0 | 11544 | 0.1530 | 2198176 |
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+ | 0.1467 | 6.5 | 12506 | 0.1522 | 2381440 |
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+ | 0.1482 | 7.0 | 13468 | 0.1539 | 2564952 |
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+ | 0.2243 | 7.5 | 14430 | 0.1545 | 2748568 |
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+ | 0.1888 | 8.0 | 15392 | 0.1522 | 2931096 |
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+ | 0.073 | 8.5 | 16354 | 0.1533 | 3113624 |
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+ | 0.0907 | 9.0 | 17316 | 0.1530 | 3296808 |
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+ | 0.0881 | 9.5 | 18278 | 0.1536 | 3480168 |
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+ | 0.1452 | 10.0 | 19240 | 0.1530 | 3663512 |
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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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