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add_lr5e-4_batch128_train17_evaltrain

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Safetensors
nanogpt
Generated from Trainer
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  1. README.md +372 -0
  2. config.json +19 -0
  3. generation_config.json +4 -0
  4. model.safetensors +3 -0
  5. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: add_lr5e-4_batch128_train17_evaltrain
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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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+ # add_lr5e-4_batch128_train17_evaltrain
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.7110
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+ - Accuracy: 0.3371
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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: 0.0005
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+ - train_batch_size: 128
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+ - eval_batch_size: 512
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+ - seed: 23452399
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+ - optimizer: Use OptimizerNames.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: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:-----:|:---------------:|:--------:|
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+ | No log | 0 | 0 | 2.7171 | 0.0 |
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+ | 2.3534 | 0.0032 | 50 | 2.3677 | 0.0 |
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+ | 2.3382 | 0.0064 | 100 | 2.5148 | 0.0 |
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+ | 2.311 | 0.0096 | 150 | 2.3971 | 0.0 |
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+ | 2.3392 | 0.0128 | 200 | 2.5468 | 0.0 |
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+ | 2.3034 | 0.016 | 250 | 2.3131 | 0.0 |
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+ | 2.2137 | 0.0192 | 300 | 2.4709 | 0.0 |
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+ | 2.1959 | 0.0224 | 350 | 2.3693 | 0.0 |
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+ | 2.2031 | 0.0256 | 400 | 2.5114 | 0.0 |
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+ | 2.2015 | 0.0288 | 450 | 2.5978 | 0.0 |
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+ | 2.182 | 0.032 | 500 | 2.5588 | 0.0 |
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+ | 2.2006 | 0.0352 | 550 | 2.4233 | 0.0 |
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+ | 2.1606 | 0.0384 | 600 | 2.5245 | 0.0 |
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+ | 2.1524 | 0.0416 | 650 | 2.4452 | 0.0 |
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+ | 2.1044 | 0.0448 | 700 | 2.3655 | 0.0 |
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+ | 2.0603 | 0.048 | 750 | 2.3375 | 0.0 |
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+ | 2.183 | 0.0512 | 800 | 2.3313 | 0.0 |
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+ | 2.0273 | 0.0544 | 850 | 2.4725 | 0.0 |
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+ | 2.033 | 0.0576 | 900 | 2.4836 | 0.0 |
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+ | 1.9766 | 0.0608 | 950 | 2.3963 | 0.0 |
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+ | 1.8946 | 0.064 | 1000 | 2.3595 | 0.0 |
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+ | 1.8097 | 0.0672 | 1050 | 2.1780 | 0.0 |
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+ | 1.6859 | 0.0704 | 1100 | 2.6667 | 0.0002 |
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+ | 1.8248 | 0.0736 | 1150 | 2.7052 | 0.0 |
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+ | 1.5832 | 0.0768 | 1200 | 2.3183 | 0.0001 |
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+ | 1.6588 | 0.08 | 1250 | 2.5069 | 0.0 |
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+ | 1.4987 | 0.0832 | 1300 | 2.3781 | 0.0 |
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+ | 1.4534 | 0.0864 | 1350 | 2.5671 | 0.0 |
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+ | 1.6611 | 0.0896 | 1400 | 2.7870 | 0.0 |
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+ | 1.6325 | 0.0928 | 1450 | 2.3185 | 0.0001 |
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+ | 1.5752 | 0.096 | 1500 | 2.5077 | 0.0 |
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+ | 1.3086 | 0.0992 | 1550 | 2.9031 | 0.0 |
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+ | 1.621 | 0.1024 | 1600 | 3.0532 | 0.0 |
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+ | 1.3097 | 0.1056 | 1650 | 3.2942 | 0.0 |
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+ | 1.5028 | 0.1088 | 1700 | 2.3666 | 0.0 |
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+ | 1.3305 | 0.112 | 1750 | 3.2486 | 0.0 |
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+ | 1.4764 | 0.1152 | 1800 | 2.9466 | 0.0 |
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+ | 1.4808 | 0.1184 | 1850 | 2.8717 | 0.0 |
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+ | 1.3628 | 0.1216 | 1900 | 3.1647 | 0.0 |
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+ | 1.3876 | 0.1248 | 1950 | 2.8130 | 0.0004 |
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+ | 1.2997 | 0.128 | 2000 | 2.7729 | 0.0001 |
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+ | 1.3024 | 0.1312 | 2050 | 2.7103 | 0.0003 |
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+ | 1.3018 | 0.1344 | 2100 | 3.1862 | 0.0002 |
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+ | 1.4855 | 0.1376 | 2150 | 2.7146 | 0.0002 |
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+ | 1.4855 | 0.1408 | 2200 | 3.5807 | 0.0 |
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+ | 1.4745 | 0.144 | 2250 | 2.3634 | 0.0002 |
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+ | 1.3088 | 0.1472 | 2300 | 3.3057 | 0.0 |
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+ | 1.2341 | 0.1504 | 2350 | 2.7851 | 0.0006 |
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+ | 1.3885 | 0.1536 | 2400 | 2.7682 | 0.0001 |
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+ | 1.366 | 0.1568 | 2450 | 3.0570 | 0.0 |
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+ | 1.3261 | 0.16 | 2500 | 3.0537 | 0.0003 |
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+ | 1.2401 | 0.1632 | 2550 | 3.4798 | 0.0002 |
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+ | 1.2072 | 0.1664 | 2600 | 3.2757 | 0.0002 |
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+ | 1.2796 | 0.1696 | 2650 | 2.8221 | 0.0002 |
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+ | 1.2952 | 0.1728 | 2700 | 3.2149 | 0.0 |
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+ | 1.2149 | 0.176 | 2750 | 3.5343 | 0.0 |
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+ | 1.2852 | 0.1792 | 2800 | 3.9293 | 0.0 |
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+ | 1.1779 | 0.1824 | 2850 | 3.8437 | 0.0002 |
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+ | 1.2693 | 0.1856 | 2900 | 3.3776 | 0.0003 |
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+ | 1.12 | 0.1888 | 2950 | 3.4571 | 0.0004 |
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+ | 1.227 | 0.192 | 3000 | 3.1741 | 0.0007 |
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+ | 1.1679 | 0.1952 | 3050 | 3.2316 | 0.0005 |
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+ | 1.2782 | 0.1984 | 3100 | 3.0204 | 0.0002 |
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+ | 1.1612 | 0.2016 | 3150 | 3.7882 | 0.0003 |
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+ | 1.3976 | 0.2048 | 3200 | 2.7002 | 0.0004 |
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+ | 1.2371 | 0.208 | 3250 | 3.1928 | 0.0009 |
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+ | 1.2195 | 0.2112 | 3300 | 3.4656 | 0.0006 |
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+ | 1.2678 | 0.2144 | 3350 | 2.7147 | 0.0008 |
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+ | 1.1537 | 0.2176 | 3400 | 3.4452 | 0.0005 |
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+ | 1.3463 | 0.2208 | 3450 | 3.5082 | 0.0003 |
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+ | 1.1471 | 0.224 | 3500 | 3.4308 | 0.0007 |
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+ | 1.2255 | 0.2272 | 3550 | 3.2201 | 0.0008 |
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+ | 1.1674 | 0.2304 | 3600 | 3.5609 | 0.0001 |
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+ | 1.2189 | 0.2336 | 3650 | 3.8242 | 0.0005 |
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+ | 1.3446 | 0.2368 | 3700 | 4.4741 | 0.0 |
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+ | 1.176 | 0.24 | 3750 | 3.4270 | 0.0005 |
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+ | 1.1728 | 0.2432 | 3800 | 3.8401 | 0.0004 |
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+ | 1.2267 | 0.2464 | 3850 | 3.6995 | 0.0004 |
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+ | 1.1773 | 0.2496 | 3900 | 4.4688 | 0.0004 |
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+ | 1.1547 | 0.2528 | 3950 | 3.9891 | 0.0003 |
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+ | 1.2737 | 0.256 | 4000 | 4.3630 | 0.0 |
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+ | 1.1536 | 0.2592 | 4050 | 4.0964 | 0.0005 |
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+ | 1.2369 | 0.2624 | 4100 | 4.3463 | 0.0001 |
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+ | 1.2146 | 0.2656 | 4150 | 3.9598 | 0.0 |
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+ | 1.1365 | 0.2688 | 4200 | 3.1020 | 0.0004 |
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+ | 1.2101 | 0.272 | 4250 | 3.7791 | 0.0004 |
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+ | 1.2298 | 0.2752 | 4300 | 3.8624 | 0.0004 |
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+ | 1.1941 | 0.2784 | 4350 | 3.9779 | 0.0008 |
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+ | 1.2113 | 0.2816 | 4400 | 3.5294 | 0.001 |
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+ | 1.1585 | 0.2848 | 4450 | 4.2826 | 0.0 |
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+ | 1.2869 | 0.288 | 4500 | 3.8736 | 0.0 |
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+ | 1.0868 | 0.2912 | 4550 | 4.3815 | 0.001 |
144
+ | 1.3051 | 0.2944 | 4600 | 4.4681 | 0.0026 |
145
+ | 1.1707 | 0.2976 | 4650 | 4.8402 | 0.0018 |
146
+ | 1.1597 | 0.3008 | 4700 | 5.0568 | 0.0013 |
147
+ | 1.3069 | 0.304 | 4750 | 4.1207 | 0.0001 |
148
+ | 1.1646 | 0.3072 | 4800 | 4.1790 | 0.0034 |
149
+ | 1.3297 | 0.3104 | 4850 | 4.0990 | 0.0024 |
150
+ | 1.0493 | 0.3136 | 4900 | 4.5623 | 0.0061 |
151
+ | 1.1153 | 0.3168 | 4950 | 4.6378 | 0.0004 |
152
+ | 0.8784 | 0.32 | 5000 | 4.1497 | 0.0086 |
153
+ | 0.896 | 0.3232 | 5050 | 4.6908 | 0.0051 |
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+ | 0.822 | 0.3264 | 5100 | 4.1919 | 0.0108 |
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+ | 0.6781 | 0.3296 | 5150 | 4.9788 | 0.0049 |
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+ | 0.6793 | 0.3328 | 5200 | 5.3065 | 0.0017 |
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+ | 0.2857 | 0.336 | 5250 | 4.4342 | 0.0095 |
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+ | 0.5048 | 0.3392 | 5300 | 4.5093 | 0.0141 |
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+ | 0.5522 | 0.3424 | 5350 | 4.9845 | 0.0066 |
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+ | 0.1214 | 0.3456 | 5400 | 5.0081 | 0.0199 |
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+ | 0.414 | 0.3488 | 5450 | 4.4191 | 0.0256 |
162
+ | 0.2786 | 0.352 | 5500 | 4.3840 | 0.0052 |
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+ | 0.3123 | 0.3552 | 5550 | 5.4591 | 0.002 |
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+ | 0.274 | 0.3584 | 5600 | 5.1043 | 0.0332 |
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+ | 0.1928 | 0.3616 | 5650 | 3.9612 | 0.0748 |
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+ | 0.2678 | 0.3648 | 5700 | 3.7207 | 0.0439 |
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+ | 0.5844 | 0.368 | 5750 | 4.0531 | 0.0151 |
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+ | 0.0855 | 0.3712 | 5800 | 4.5378 | 0.034 |
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+ | 0.7164 | 0.3744 | 5850 | 3.1294 | 0.016 |
170
+ | 0.3368 | 0.3776 | 5900 | 4.4172 | 0.0133 |
171
+ | 0.2381 | 0.3808 | 5950 | 3.8615 | 0.0243 |
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+ | 0.4482 | 0.384 | 6000 | 3.5239 | 0.0453 |
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+ | 0.2669 | 0.3872 | 6050 | 4.2445 | 0.0398 |
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+ | 0.0958 | 0.3904 | 6100 | 4.3887 | 0.0105 |
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+ | 0.1462 | 0.3936 | 6150 | 3.7110 | 0.0554 |
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+ | 0.0327 | 0.3968 | 6200 | 3.3010 | 0.0623 |
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+ | 0.0222 | 0.4 | 6250 | 3.9386 | 0.0939 |
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+ | 0.0559 | 0.4032 | 6300 | 3.9364 | 0.0755 |
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+ | 0.1217 | 0.4064 | 6350 | 4.3939 | 0.0215 |
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+ | 0.1358 | 0.4096 | 6400 | 3.1975 | 0.0703 |
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+ | 0.0646 | 0.4128 | 6450 | 2.9846 | 0.0645 |
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+ | 0.0236 | 0.416 | 6500 | 3.3172 | 0.0596 |
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+ | 0.1173 | 0.4192 | 6550 | 2.8748 | 0.1073 |
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+ | 0.0582 | 0.4224 | 6600 | 2.9948 | 0.1046 |
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+ | 0.0573 | 0.4256 | 6650 | 3.3605 | 0.1123 |
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+ | 0.0326 | 0.4288 | 6700 | 3.2537 | 0.1046 |
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+ | 0.0731 | 0.432 | 6750 | 3.1120 | 0.1109 |
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+ | 0.0399 | 0.4352 | 6800 | 3.4842 | 0.0556 |
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+ | 0.0109 | 0.4384 | 6850 | 2.5963 | 0.1168 |
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+ | 0.2186 | 0.4416 | 6900 | 2.8680 | 0.0756 |
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+ | 0.0877 | 0.4448 | 6950 | 2.5039 | 0.1407 |
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+ | 0.0176 | 0.448 | 7000 | 2.2619 | 0.1053 |
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+ | 0.0349 | 0.4512 | 7050 | 3.0717 | 0.1474 |
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+ | 0.0375 | 0.4544 | 7100 | 3.3271 | 0.0761 |
195
+ | 0.1062 | 0.4576 | 7150 | 2.8235 | 0.163 |
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+ | 0.0576 | 0.4608 | 7200 | 2.6568 | 0.056 |
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+ | 0.0061 | 0.464 | 7250 | 3.3304 | 0.1348 |
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+ | 0.085 | 0.4672 | 7300 | 2.6189 | 0.2183 |
199
+ | 0.0104 | 0.4704 | 7350 | 3.0011 | 0.1506 |
200
+ | 0.0045 | 0.4736 | 7400 | 2.6107 | 0.1811 |
201
+ | 0.052 | 0.4768 | 7450 | 2.6883 | 0.2167 |
202
+ | 0.124 | 0.48 | 7500 | 2.4655 | 0.0957 |
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+ | 0.0016 | 0.4832 | 7550 | 2.3609 | 0.194 |
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+ | 0.0096 | 0.4864 | 7600 | 3.1718 | 0.1336 |
205
+ | 0.0028 | 0.4896 | 7650 | 2.8083 | 0.1593 |
206
+ | 0.009 | 0.4928 | 7700 | 2.3825 | 0.1434 |
207
+ | 0.0348 | 0.496 | 7750 | 2.7852 | 0.1706 |
208
+ | 0.0177 | 0.4992 | 7800 | 2.6883 | 0.1856 |
209
+ | 0.0234 | 0.5024 | 7850 | 2.6150 | 0.201 |
210
+ | 0.0089 | 0.5056 | 7900 | 2.2804 | 0.1624 |
211
+ | 0.0194 | 0.5088 | 7950 | 2.8231 | 0.1422 |
212
+ | 0.0085 | 0.512 | 8000 | 3.3137 | 0.1384 |
213
+ | 0.0095 | 0.5152 | 8050 | 2.5829 | 0.1891 |
214
+ | 0.0065 | 0.5184 | 8100 | 2.7052 | 0.2005 |
215
+ | 0.2807 | 0.5216 | 8150 | 2.8978 | 0.1373 |
216
+ | 0.0423 | 0.5248 | 8200 | 2.6956 | 0.1769 |
217
+ | 0.0041 | 0.528 | 8250 | 2.6078 | 0.2284 |
218
+ | 0.0193 | 0.5312 | 8300 | 2.9127 | 0.2202 |
219
+ | 0.0036 | 0.5344 | 8350 | 3.1227 | 0.1996 |
220
+ | 0.0182 | 0.5376 | 8400 | 2.8784 | 0.1508 |
221
+ | 0.0321 | 0.5408 | 8450 | 3.2844 | 0.1415 |
222
+ | 0.0112 | 0.544 | 8500 | 2.7068 | 0.2207 |
223
+ | 0.0053 | 0.5472 | 8550 | 2.4179 | 0.249 |
224
+ | 0.0019 | 0.5504 | 8600 | 2.6199 | 0.213 |
225
+ | 0.0137 | 0.5536 | 8650 | 2.2050 | 0.1843 |
226
+ | 0.0103 | 0.5568 | 8700 | 2.7119 | 0.1982 |
227
+ | 0.0029 | 0.56 | 8750 | 2.5797 | 0.2548 |
228
+ | 0.0055 | 0.5632 | 8800 | 2.8202 | 0.1532 |
229
+ | 0.0011 | 0.5664 | 8850 | 2.6418 | 0.1814 |
230
+ | 0.0105 | 0.5696 | 8900 | 2.1258 | 0.2824 |
231
+ | 0.0052 | 0.5728 | 8950 | 2.6633 | 0.1998 |
232
+ | 0.0017 | 0.576 | 9000 | 2.9766 | 0.2135 |
233
+ | 0.0009 | 0.5792 | 9050 | 2.6429 | 0.2699 |
234
+ | 0.0141 | 0.5824 | 9100 | 2.2798 | 0.2971 |
235
+ | 0.0047 | 0.5856 | 9150 | 2.6866 | 0.2594 |
236
+ | 0.0001 | 0.5888 | 9200 | 2.7058 | 0.2383 |
237
+ | 0.0009 | 0.592 | 9250 | 2.2642 | 0.3119 |
238
+ | 0.0009 | 0.5952 | 9300 | 2.5964 | 0.2719 |
239
+ | 0.001 | 0.5984 | 9350 | 2.6379 | 0.2989 |
240
+ | 0.0001 | 0.6016 | 9400 | 2.1677 | 0.3591 |
241
+ | 0.0 | 0.6048 | 9450 | 2.3099 | 0.3358 |
242
+ | 0.0002 | 0.608 | 9500 | 2.3010 | 0.3246 |
243
+ | 0.0001 | 0.6112 | 9550 | 3.0135 | 0.2213 |
244
+ | 0.0008 | 0.6144 | 9600 | 2.8845 | 0.2961 |
245
+ | 0.0023 | 0.6176 | 9650 | 2.5845 | 0.2819 |
246
+ | 0.0014 | 0.6208 | 9700 | 2.4775 | 0.2596 |
247
+ | 0.0013 | 0.624 | 9750 | 2.3568 | 0.2443 |
248
+ | 0.0028 | 0.6272 | 9800 | 3.1175 | 0.2227 |
249
+ | 0.0002 | 0.6304 | 9850 | 3.7130 | 0.1188 |
250
+ | 0.0037 | 0.6336 | 9900 | 2.6004 | 0.3015 |
251
+ | 0.0054 | 0.6368 | 9950 | 2.2830 | 0.285 |
252
+ | 0.0004 | 0.64 | 10000 | 2.7812 | 0.2507 |
253
+ | 0.0001 | 0.6432 | 10050 | 2.8292 | 0.2596 |
254
+ | 0.004 | 0.6464 | 10100 | 2.5658 | 0.2914 |
255
+ | 0.0004 | 0.6496 | 10150 | 3.1035 | 0.1841 |
256
+ | 0.0007 | 0.6528 | 10200 | 2.1120 | 0.3746 |
257
+ | 0.0 | 0.656 | 10250 | 2.1145 | 0.3639 |
258
+ | 0.0 | 0.6592 | 10300 | 2.3072 | 0.3395 |
259
+ | 0.0 | 0.6624 | 10350 | 2.3622 | 0.338 |
260
+ | 0.0 | 0.6656 | 10400 | 2.3874 | 0.3396 |
261
+ | 0.0 | 0.6688 | 10450 | 2.4089 | 0.3384 |
262
+ | 0.0 | 0.672 | 10500 | 2.4243 | 0.3382 |
263
+ | 0.0 | 0.6752 | 10550 | 2.4334 | 0.3391 |
264
+ | 0.0 | 0.6784 | 10600 | 2.4398 | 0.34 |
265
+ | 0.0 | 0.6816 | 10650 | 2.4449 | 0.3419 |
266
+ | 0.0 | 0.6848 | 10700 | 2.4922 | 0.3307 |
267
+ | 0.0 | 0.688 | 10750 | 2.4956 | 0.3321 |
268
+ | 0.0 | 0.6912 | 10800 | 2.4984 | 0.3334 |
269
+ | 0.0 | 0.6944 | 10850 | 2.4563 | 0.3403 |
270
+ | 0.0 | 0.6976 | 10900 | 2.4635 | 0.3406 |
271
+ | 0.0 | 0.7008 | 10950 | 2.4701 | 0.3411 |
272
+ | 0.0 | 0.704 | 11000 | 2.4758 | 0.3416 |
273
+ | 0.0 | 0.7072 | 11050 | 2.4812 | 0.3415 |
274
+ | 0.0 | 0.7104 | 11100 | 2.4867 | 0.342 |
275
+ | 0.0 | 0.7136 | 11150 | 2.4943 | 0.3418 |
276
+ | 0.0 | 0.7168 | 11200 | 2.4993 | 0.342 |
277
+ | 0.0 | 0.72 | 11250 | 2.5051 | 0.3418 |
278
+ | 0.0 | 0.7232 | 11300 | 2.5138 | 0.3412 |
279
+ | 0.0 | 0.7264 | 11350 | 2.5205 | 0.3407 |
280
+ | 0.0 | 0.7296 | 11400 | 2.5264 | 0.3405 |
281
+ | 0.0 | 0.7328 | 11450 | 2.5294 | 0.3408 |
282
+ | 0.0 | 0.736 | 11500 | 2.5340 | 0.3414 |
283
+ | 0.0 | 0.7392 | 11550 | 2.5386 | 0.3412 |
284
+ | 0.0 | 0.7424 | 11600 | 2.5438 | 0.3408 |
285
+ | 0.0 | 0.7456 | 11650 | 2.5572 | 0.3395 |
286
+ | 0.0 | 0.7488 | 11700 | 2.5618 | 0.3395 |
287
+ | 0.0 | 0.752 | 11750 | 2.5651 | 0.3395 |
288
+ | 0.0 | 0.7552 | 11800 | 2.5781 | 0.3389 |
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+ | 0.0 | 0.7584 | 11850 | 2.5829 | 0.3393 |
290
+ | 0.0 | 0.7616 | 11900 | 2.5863 | 0.3391 |
291
+ | 0.0 | 0.7648 | 11950 | 2.5888 | 0.339 |
292
+ | 0.0 | 0.768 | 12000 | 2.5926 | 0.3392 |
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+ | 0.0 | 0.7712 | 12050 | 2.5956 | 0.3392 |
294
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+ | 0.0 | 0.8 | 12500 | 2.6229 | 0.3405 |
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+
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+
367
+ ### Framework versions
368
+
369
+ - Transformers 4.46.0
370
+ - Pytorch 2.5.1
371
+ - Datasets 3.1.0
372
+ - Tokenizers 0.20.1
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