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rbelanec
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train_cola_1757340235

PEFT
Safetensors
llama-factory
p-tuning
Generated from Trainer
Model card Files
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  2. adapter_model.safetensors +1 -1
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_1757340235
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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_1757340235
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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: 0.2036
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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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+ | 0.1236 | 0.5 | 962 | 0.2745 | 182656 |
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+ | 0.2375 | 1.0 | 1924 | 0.1683 | 365728 |
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+ | 0.3172 | 1.5 | 2886 | 0.2014 | 548992 |
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+ | 0.2088 | 2.0 | 3848 | 0.1443 | 731984 |
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+ | 0.0806 | 2.5 | 4810 | 0.1764 | 915792 |
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+ | 0.3512 | 3.0 | 5772 | 0.1655 | 1098920 |
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+ | 0.0369 | 3.5 | 6734 | 0.1680 | 1281640 |
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+ | 0.0703 | 4.0 | 7696 | 0.1568 | 1465464 |
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+ | 0.0718 | 4.5 | 8658 | 0.1608 | 1649720 |
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+ | 0.1062 | 5.0 | 9620 | 0.1466 | 1831920 |
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+ | 0.2303 | 5.5 | 10582 | 0.1536 | 2014928 |
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+ | 0.2191 | 6.0 | 11544 | 0.1693 | 2198176 |
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+ | 0.1416 | 6.5 | 12506 | 0.1756 | 2381440 |
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+ | 0.1436 | 7.0 | 13468 | 0.1585 | 2564952 |
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+ | 0.0112 | 7.5 | 14430 | 0.1843 | 2748568 |
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+ | 0.15 | 8.0 | 15392 | 0.1909 | 2931096 |
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+ | 0.0999 | 8.5 | 16354 | 0.1853 | 3113624 |
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+ | 0.0045 | 9.0 | 17316 | 0.2035 | 3296808 |
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+ | 0.0655 | 9.5 | 18278 | 0.2026 | 3480168 |
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+ | 0.0811 | 10.0 | 19240 | 0.2036 | 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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