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rbelanec
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train_copa_1745950322

PEFT
Safetensors
llama-factory
prompt-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: gemma
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+ base_model: google/gemma-3-1b-it
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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_copa_1745950322
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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_copa_1745950322
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+
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+ This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7878
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+ - Num Input Tokens Seen: 11200800
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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: 0.3
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 123
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 4
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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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+ - training_steps: 40000
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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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+ | 0.1585 | 2.2222 | 200 | 0.1960 | 56176 |
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+ | 0.1537 | 4.4444 | 400 | 0.1932 | 112064 |
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+ | 0.1745 | 6.6667 | 600 | 0.1866 | 168112 |
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+ | 0.1615 | 8.8889 | 800 | 0.1828 | 224048 |
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+ | 0.1705 | 11.1111 | 1000 | 0.1820 | 279904 |
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+ | 0.1756 | 13.3333 | 1200 | 0.1769 | 336032 |
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+ | 0.1546 | 15.5556 | 1400 | 0.1742 | 391904 |
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+ | 0.1698 | 17.7778 | 1600 | 0.1744 | 448112 |
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+ | 0.1734 | 20.0 | 1800 | 0.1756 | 503920 |
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+ | 0.1819 | 22.2222 | 2000 | 0.1746 | 560016 |
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+ | 0.1603 | 24.4444 | 2200 | 0.1819 | 615952 |
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+ | 0.177 | 26.6667 | 2400 | 0.1764 | 672080 |
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+ | 0.176 | 28.8889 | 2600 | 0.1817 | 728000 |
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+ | 0.1629 | 31.1111 | 2800 | 0.1786 | 783872 |
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+ | 0.1461 | 33.3333 | 3000 | 0.1881 | 839808 |
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+ | 0.1762 | 35.5556 | 3200 | 0.1912 | 896064 |
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+ | 0.1672 | 37.7778 | 3400 | 0.1763 | 951888 |
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+ | 0.1666 | 40.0 | 3600 | 0.1825 | 1007760 |
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+ | 0.1347 | 42.2222 | 3800 | 0.2474 | 1063648 |
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+ | 0.1005 | 44.4444 | 4000 | 0.2612 | 1119744 |
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+ | 0.0669 | 46.6667 | 4200 | 0.2604 | 1175680 |
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+ | 0.1043 | 48.8889 | 4400 | 0.2414 | 1231696 |
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+ | 0.0445 | 51.1111 | 4600 | 0.3379 | 1287744 |
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+ | 0.0243 | 53.3333 | 4800 | 0.4504 | 1343760 |
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+ | 0.0371 | 55.5556 | 5000 | 0.5648 | 1399856 |
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+ | 0.0138 | 57.7778 | 5200 | 0.5205 | 1455808 |
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+ | 0.0002 | 60.0 | 5400 | 0.7808 | 1511856 |
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+ | 0.0001 | 62.2222 | 5600 | 0.7838 | 1567808 |
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+ | 0.0 | 64.4444 | 5800 | 0.8040 | 1623744 |
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+ | 0.0 | 66.6667 | 6000 | 0.8280 | 1679888 |
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+ | 0.0 | 68.8889 | 6200 | 0.8334 | 1735952 |
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+ | 0.0 | 71.1111 | 6400 | 0.8474 | 1791904 |
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+ | 0.0 | 73.3333 | 6600 | 0.8694 | 1847888 |
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+ | 0.0 | 75.5556 | 6800 | 0.8714 | 1904000 |
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+ | 0.0 | 77.7778 | 7000 | 0.8972 | 1959920 |
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+ | 0.0 | 80.0 | 7200 | 0.9046 | 2015792 |
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+ | 0.0 | 82.2222 | 7400 | 0.9208 | 2071808 |
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+ | 0.0 | 84.4444 | 7600 | 0.9380 | 2127808 |
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+ | 0.0 | 86.6667 | 7800 | 0.9472 | 2183888 |
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+ | 0.0 | 88.8889 | 8000 | 0.9389 | 2239840 |
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+ | 0.0 | 91.1111 | 8200 | 0.9594 | 2295888 |
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+ | 0.0 | 93.3333 | 8400 | 0.9713 | 2351872 |
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+ | 0.0 | 95.5556 | 8600 | 0.9810 | 2407824 |
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+ | 0.0 | 97.7778 | 8800 | 0.9830 | 2463744 |
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+ | 0.0 | 100.0 | 9000 | 1.0046 | 2519680 |
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+ | 0.0 | 102.2222 | 9200 | 1.0120 | 2575584 |
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+ | 0.0 | 104.4444 | 9400 | 1.0307 | 2631680 |
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+ | 0.0 | 106.6667 | 9600 | 1.0327 | 2687728 |
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+ | 0.0 | 108.8889 | 9800 | 1.0424 | 2743792 |
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+ | 0.0 | 111.1111 | 10000 | 1.0433 | 2799840 |
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+ | 0.0 | 113.3333 | 10200 | 1.0506 | 2855808 |
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+ | 0.0 | 115.5556 | 10400 | 1.0754 | 2911648 |
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+ | 0.0 | 117.7778 | 10600 | 1.0816 | 2967856 |
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+ | 0.0 | 120.0 | 10800 | 1.0875 | 3023792 |
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+ | 0.0 | 122.2222 | 11000 | 1.1016 | 3079920 |
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+ | 0.0 | 124.4444 | 11200 | 1.1077 | 3135904 |
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+ | 0.0 | 126.6667 | 11400 | 1.1129 | 3191808 |
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+ | 0.0 | 128.8889 | 11600 | 1.1311 | 3247840 |
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+ | 0.0 | 131.1111 | 11800 | 1.1461 | 3303712 |
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+ | 0.0 | 133.3333 | 12000 | 1.1524 | 3359680 |
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+ | 0.0 | 135.5556 | 12200 | 1.1528 | 3415824 |
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+ | 0.0 | 137.7778 | 12400 | 1.1764 | 3471520 |
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+ | 0.0 | 140.0 | 12600 | 1.1755 | 3527664 |
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+ | 0.0 | 142.2222 | 12800 | 1.2023 | 3583696 |
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+ | 0.0 | 144.4444 | 13000 | 1.1986 | 3639680 |
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+ | 0.0 | 146.6667 | 13200 | 1.2131 | 3695712 |
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+ | 0.0 | 148.8889 | 13400 | 1.2381 | 3751728 |
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+ | 0.0 | 151.1111 | 13600 | 1.2481 | 3807744 |
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+ | 0.0 | 153.3333 | 13800 | 1.2522 | 3863664 |
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+ | 0.0 | 155.5556 | 14000 | 1.2715 | 3919584 |
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+ | 0.0 | 157.7778 | 14200 | 1.2780 | 3975568 |
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+ | 0.0 | 160.0 | 14400 | 1.3001 | 4031632 |
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+ | 0.0 | 162.2222 | 14600 | 1.3049 | 4087632 |
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+ | 0.0 | 164.4444 | 14800 | 1.3115 | 4143664 |
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+ | 0.0 | 166.6667 | 15000 | 1.3477 | 4199552 |
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+ | 0.0 | 168.8889 | 15200 | 1.3329 | 4255584 |
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+ | 0.0 | 171.1111 | 15400 | 1.3379 | 4311504 |
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+ | 0.0 | 173.3333 | 15600 | 1.3553 | 4367408 |
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+ | 0.0 | 175.5556 | 15800 | 1.3785 | 4423376 |
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+ | 0.0 | 177.7778 | 16000 | 1.3628 | 4479456 |
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+ | 0.0 | 180.0 | 16200 | 1.3936 | 4535504 |
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+ | 0.0 | 182.2222 | 16400 | 1.3908 | 4591504 |
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+ | 0.0 | 184.4444 | 16600 | 1.4268 | 4647424 |
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+ | 0.0 | 186.6667 | 16800 | 1.4218 | 4703376 |
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+ | 0.0 | 188.8889 | 17000 | 1.4472 | 4759552 |
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+ | 0.0 | 191.1111 | 17200 | 1.4649 | 4815552 |
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+ | 0.0 | 193.3333 | 17400 | 1.4669 | 4871600 |
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+ | 0.0 | 195.5556 | 17600 | 1.4431 | 4927696 |
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+ | 0.0 | 197.7778 | 17800 | 1.4888 | 4983424 |
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+ | 0.0 | 200.0 | 18000 | 1.5016 | 5039536 |
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+ | 0.0 | 202.2222 | 18200 | 1.4928 | 5095376 |
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+ | 0.0 | 204.4444 | 18400 | 1.5293 | 5151440 |
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+ | 0.0 | 213.3333 | 19200 | 1.5504 | 5375280 |
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+ | 0.0 | 215.5556 | 19400 | 1.5739 | 5431520 |
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+ | 0.0 | 217.7778 | 19600 | 1.5765 | 5487472 |
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+ | 0.0 | 220.0 | 19800 | 1.5911 | 5543504 |
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+ | 0.0 | 222.2222 | 20000 | 1.5940 | 5599440 |
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+ | 0.0 | 224.4444 | 20200 | 1.5977 | 5655424 |
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+ | 0.0 | 226.6667 | 20400 | 1.6347 | 5711344 |
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+ | 0.0 | 228.8889 | 20600 | 1.6275 | 5767376 |
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+ | 0.0 | 231.1111 | 20800 | 1.6913 | 5823264 |
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+ | 0.0 | 233.3333 | 21000 | 1.6944 | 5879248 |
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+ | 0.0 | 235.5556 | 21200 | 1.6750 | 5935168 |
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+ | 0.0 | 237.7778 | 21400 | 1.6816 | 5991232 |
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+ | 0.0 | 240.0 | 21600 | 1.6530 | 6047376 |
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+ | 0.0 | 242.2222 | 21800 | 1.6663 | 6103328 |
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+ | 0.0 | 244.4444 | 22000 | 1.6708 | 6159376 |
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+ | 0.0 | 246.6667 | 22200 | 1.6437 | 6215360 |
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+ | 0.0 | 248.8889 | 22400 | 1.6692 | 6271232 |
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+ | 0.0 | 251.1111 | 22600 | 1.6101 | 6327136 |
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+ | 0.0 | 253.3333 | 22800 | 1.6198 | 6383248 |
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+ | 0.0 | 255.5556 | 23000 | 1.5668 | 6439168 |
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+ | 0.0 | 257.7778 | 23200 | 1.5763 | 6495280 |
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+ | 0.0 | 260.0 | 23400 | 1.5500 | 6551264 |
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+ | 0.0 | 262.2222 | 23600 | 1.5696 | 6607424 |
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+ | 0.0 | 264.4444 | 23800 | 1.5225 | 6663168 |
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+ | 0.0 | 266.6667 | 24000 | 1.5554 | 6719216 |
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+ | 0.0 | 268.8889 | 24200 | 1.5902 | 6775344 |
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+ | 0.0 | 271.1111 | 24400 | 1.4873 | 6831344 |
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+ | 0.0 | 273.3333 | 24600 | 1.5270 | 6887344 |
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+ | 0.0 | 275.5556 | 24800 | 1.6768 | 6943632 |
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+ | 0.0 | 277.7778 | 25000 | 1.6876 | 6999632 |
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+ | 0.0 | 280.0 | 25200 | 1.5999 | 7055664 |
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+ | 0.0 | 282.2222 | 25400 | 1.6702 | 7111664 |
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+ | 0.0 | 284.4444 | 25600 | 1.6623 | 7167744 |
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+ | 0.0 | 286.6667 | 25800 | 1.5950 | 7223696 |
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+ | 0.0 | 288.8889 | 26000 | 1.6427 | 7279760 |
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+ | 0.0 | 291.1111 | 26200 | 1.7028 | 7335792 |
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+ | 0.0 | 293.3333 | 26400 | 1.6055 | 7391808 |
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+ | 0.0 | 295.5556 | 26600 | 1.5844 | 7447808 |
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+ | 0.0 | 297.7778 | 26800 | 1.6416 | 7503824 |
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+ | 0.0 | 300.0 | 27000 | 1.7239 | 7559856 |
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+ | 0.0 | 302.2222 | 27200 | 1.6796 | 7615904 |
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+ | 0.0 | 304.4444 | 27400 | 1.5742 | 7672000 |
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+ | 0.0 | 306.6667 | 27600 | 1.6184 | 7727808 |
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+ | 0.0 | 308.8889 | 27800 | 1.5991 | 7783744 |
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+ | 0.0 | 311.1111 | 28000 | 1.5418 | 7839808 |
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+ | 0.0 | 313.3333 | 28200 | 1.6170 | 7895872 |
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+ | 0.0 | 315.5556 | 28400 | 1.6391 | 7951664 |
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+ | 0.0 | 317.7778 | 28600 | 1.6250 | 8007744 |
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+ | 0.0 | 320.0 | 28800 | 1.6387 | 8063616 |
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+ | 0.0 | 322.2222 | 29000 | 1.6151 | 8119520 |
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+ | 0.0 | 324.4444 | 29200 | 1.6220 | 8175584 |
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+ | 0.0 | 326.6667 | 29400 | 1.6851 | 8231760 |
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+ | 0.0 | 328.8889 | 29600 | 1.6862 | 8287696 |
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+ | 0.0 | 331.1111 | 29800 | 1.6520 | 8343760 |
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+ | 0.0 | 333.3333 | 30000 | 1.6907 | 8399696 |
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+ | 0.0 | 335.5556 | 30200 | 1.6143 | 8455776 |
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+ | 0.0 | 337.7778 | 30400 | 1.6979 | 8511760 |
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+ | 0.0 | 340.0 | 30600 | 1.6834 | 8567792 |
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+ | 0.0 | 342.2222 | 30800 | 1.6586 | 8623728 |
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+ | 0.0 | 344.4444 | 31000 | 1.6678 | 8679920 |
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+ | 0.0 | 346.6667 | 31200 | 1.7132 | 8736032 |
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+ | 0.0 | 351.1111 | 31600 | 1.6019 | 8847728 |
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+ | 0.0 | 353.3333 | 31800 | 1.6742 | 8903952 |
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+ | 0.0 | 355.5556 | 32000 | 1.7011 | 8959920 |
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+ | 0.0 | 357.7778 | 32200 | 1.6816 | 9016096 |
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+ | 0.0 | 360.0 | 32400 | 1.7048 | 9072192 |
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+ | 0.0 | 362.2222 | 32600 | 1.7152 | 9128272 |
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+ | 0.0 | 364.4444 | 32800 | 1.7085 | 9184240 |
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+ | 0.0 | 366.6667 | 33000 | 1.7312 | 9240064 |
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+ | 0.0 | 368.8889 | 33200 | 1.7539 | 9295952 |
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+ | 0.0 | 371.1111 | 33400 | 1.7249 | 9352016 |
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+ | 0.0 | 373.3333 | 33600 | 1.7504 | 9407968 |
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+ | 0.0 | 375.5556 | 33800 | 1.7512 | 9463920 |
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+ | 0.0 | 377.7778 | 34000 | 1.7510 | 9519984 |
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+ | 0.0 | 380.0 | 34200 | 1.7470 | 9575936 |
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+ | 0.0 | 382.2222 | 34400 | 1.7684 | 9631952 |
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+ | 0.0 | 384.4444 | 34600 | 1.7600 | 9687936 |
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+ | 0.0 | 386.6667 | 34800 | 1.7497 | 9743968 |
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+ | 0.0 | 388.8889 | 35000 | 1.7552 | 9800016 |
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+ | 0.0 | 391.1111 | 35200 | 1.7796 | 9856016 |
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+ | 0.0 | 393.3333 | 35400 | 1.7958 | 9912112 |
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+ | 0.0 | 395.5556 | 35600 | 1.7898 | 9968112 |
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+ | 0.0 | 397.7778 | 35800 | 1.7811 | 10024160 |
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+ | 0.0 | 400.0 | 36000 | 1.7936 | 10080240 |
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+ | 0.0 | 402.2222 | 36200 | 1.7834 | 10136208 |
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+ | 0.0 | 404.4444 | 36400 | 1.7830 | 10192208 |
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+ | 0.0 | 406.6667 | 36600 | 1.8050 | 10248192 |
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+ | 0.0 | 408.8889 | 36800 | 1.7914 | 10304144 |
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+ | 0.0 | 411.1111 | 37000 | 1.8239 | 10360192 |
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+ | 0.0 | 413.3333 | 37200 | 1.7780 | 10416288 |
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+ | 0.0 | 415.5556 | 37400 | 1.7846 | 10472368 |
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+ | 0.0 | 417.7778 | 37600 | 1.7938 | 10528352 |
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+ | 0.0 | 420.0 | 37800 | 1.7924 | 10584384 |
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+ | 0.0 | 422.2222 | 38000 | 1.7995 | 10640496 |
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+ | 0.0 | 424.4444 | 38200 | 1.8110 | 10696528 |
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+ | 0.0 | 426.6667 | 38400 | 1.7964 | 10752640 |
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+ | 0.0 | 428.8889 | 38600 | 1.8125 | 10808672 |
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+ | 0.0 | 431.1111 | 38800 | 1.7951 | 10864512 |
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+ | 0.0 | 433.3333 | 39000 | 1.8056 | 10920608 |
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+ | 0.0 | 435.5556 | 39200 | 1.7908 | 10976624 |
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+ | 0.0 | 437.7778 | 39400 | 1.8039 | 11032608 |
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+ | 0.0 | 440.0 | 39600 | 1.7930 | 11088720 |
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+ | 0.0 | 442.2222 | 39800 | 1.7873 | 11144688 |
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+ | 0.0 | 444.4444 | 40000 | 1.7878 | 11200800 |
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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.dev0
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+ - Transformers 4.51.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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