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--- |
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library_name: transformers |
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tags: |
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- smallm |
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- generated_from_trainer |
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model-index: |
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- name: smallm_140_rope |
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results: [] |
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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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# smallm_140_rope |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8849 |
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- Num Input Tokens Seen: 7864320000 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0006 |
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- train_batch_size: 64 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- optimizer: Use OptimizerNames.ADAMW_APEX_FUSED 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_steps: 600 |
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- training_steps: 30000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:-----:|:---------------:|:-----------------:| |
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| 22.7795 | 0.0034 | 500 | 5.5598 | 131072000 | |
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| 17.4367 | 0.0067 | 1000 | 4.2485 | 262144000 | |
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| 15.7688 | 0.0101 | 1500 | 3.8666 | 393216000 | |
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| 14.9894 | 0.0135 | 2000 | 3.6752 | 524288000 | |
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| 14.5031 | 0.0168 | 2500 | 3.5482 | 655360000 | |
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| 14.2405 | 0.0202 | 3000 | 3.4691 | 786432000 | |
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| 13.9742 | 0.0235 | 3500 | 3.4102 | 917504000 | |
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| 13.7434 | 0.0269 | 4000 | 3.3646 | 1048576000 | |
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| 13.6039 | 0.0303 | 4500 | 3.3241 | 1179648000 | |
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| 13.4891 | 0.0336 | 5000 | 3.2917 | 1310720000 | |
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| 13.3718 | 0.0370 | 5500 | 3.2622 | 1441792000 | |
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| 13.3443 | 0.0404 | 6000 | 3.2371 | 1572864000 | |
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| 13.1945 | 0.0437 | 6500 | 3.2159 | 1703936000 | |
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| 13.0997 | 0.0471 | 7000 | 3.1944 | 1835008000 | |
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| 13.1213 | 0.0504 | 7500 | 3.1756 | 1966080000 | |
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| 12.977 | 0.0538 | 8000 | 3.1572 | 2097152000 | |
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| 12.8892 | 0.0572 | 8500 | 3.1434 | 2228224000 | |
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| 12.8258 | 0.0605 | 9000 | 3.1286 | 2359296000 | |
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| 12.8312 | 0.0639 | 9500 | 3.1131 | 2490368000 | |
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| 12.7303 | 0.0673 | 10000 | 3.1027 | 2621440000 | |
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| 12.6896 | 0.0706 | 10500 | 3.0884 | 2752512000 | |
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| 12.6273 | 0.0740 | 11000 | 3.0768 | 2883584000 | |
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| 12.6166 | 0.0774 | 11500 | 3.0653 | 3014656000 | |
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| 12.57 | 0.0807 | 12000 | 3.0549 | 3145728000 | |
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| 12.5742 | 0.0841 | 12500 | 3.0441 | 3276800000 | |
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| 12.4583 | 0.0874 | 13000 | 3.0347 | 3407872000 | |
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| 12.4483 | 0.0908 | 13500 | 3.0267 | 3538944000 | |
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| 12.3991 | 0.0942 | 14000 | 3.0163 | 3670016000 | |
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| 12.4215 | 0.0975 | 14500 | 3.0072 | 3801088000 | |
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| 12.367 | 0.1009 | 15000 | 2.9978 | 3932160000 | |
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| 12.3038 | 0.1043 | 15500 | 2.9913 | 4063232000 | |
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| 12.2584 | 0.1076 | 16000 | 2.9842 | 4194304000 | |
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| 12.2762 | 0.1110 | 16500 | 2.9755 | 4325376000 | |
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| 12.2252 | 0.1144 | 17000 | 2.9685 | 4456448000 | |
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| 12.2031 | 0.1177 | 17500 | 2.9616 | 4587520000 | |
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| 12.1477 | 0.1211 | 18000 | 2.9548 | 4718592000 | |
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| 12.1604 | 0.1244 | 18500 | 2.9489 | 4849664000 | |
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| 12.0931 | 0.1278 | 19000 | 2.9431 | 4980736000 | |
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| 12.0719 | 0.1312 | 19500 | 2.9375 | 5111808000 | |
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| 12.0672 | 0.1345 | 20000 | 2.9316 | 5242880000 | |
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| 12.0664 | 0.1379 | 20500 | 2.9268 | 5373952000 | |
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| 12.029 | 0.1413 | 21000 | 2.9219 | 5505024000 | |
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| 12.0514 | 0.1446 | 21500 | 2.9168 | 5636096000 | |
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| 12.0284 | 0.1480 | 22000 | 2.9136 | 5767168000 | |
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| 11.9863 | 0.1513 | 22500 | 2.9087 | 5898240000 | |
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| 11.9845 | 0.1547 | 23000 | 2.9054 | 6029312000 | |
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| 11.9285 | 0.1581 | 23500 | 2.9019 | 6160384000 | |
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| 11.9322 | 0.1614 | 24000 | 2.8988 | 6291456000 | |
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| 11.9627 | 0.1648 | 24500 | 2.8965 | 6422528000 | |
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| 11.9144 | 0.1682 | 25000 | 2.8939 | 6553600000 | |
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| 11.926 | 0.1715 | 25500 | 2.8921 | 6684672000 | |
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| 11.9298 | 0.1749 | 26000 | 2.8901 | 6815744000 | |
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| 11.9117 | 0.1783 | 26500 | 2.8888 | 6946816000 | |
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| 11.945 | 0.1816 | 27000 | 2.8873 | 7077888000 | |
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| 11.9267 | 0.1850 | 27500 | 2.8867 | 7208960000 | |
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| 11.9013 | 0.1883 | 28000 | 2.8857 | 7340032000 | |
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| 11.9102 | 0.1917 | 28500 | 2.8853 | 7471104000 | |
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| 11.9402 | 0.1951 | 29000 | 2.8851 | 7602176000 | |
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| 11.9125 | 0.1984 | 29500 | 2.8849 | 7733248000 | |
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| 11.9242 | 0.2018 | 30000 | 2.8849 | 7864320000 | |
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### Framework versions |
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- Transformers 4.50.3 |
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- Pytorch 2.6.0+cu126 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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