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--- |
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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: smolm-autoreg-bpe-babylm-seed_1024-1e-3 |
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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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# smolm-autoreg-bpe-babylm-seed_1024-1e-3 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4044 |
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- Accuracy: 0.4112 |
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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: 0.001 |
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- train_batch_size: 32 |
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- eval_batch_size: 128 |
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- seed: 1024 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 32000 |
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- num_epochs: 20.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:| |
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| 3.5972 | 1.0 | 18595 | 3.7848 | 0.3596 | |
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| 3.3783 | 2.0 | 37190 | 3.5924 | 0.3811 | |
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| 3.2531 | 3.0 | 55785 | 3.4617 | 0.3919 | |
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| 3.1768 | 4.0 | 74380 | 3.4215 | 0.3983 | |
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| 3.1209 | 5.0 | 92975 | 3.3891 | 0.4028 | |
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| 3.0769 | 6.0 | 111570 | 3.3921 | 0.4039 | |
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| 3.0421 | 7.0 | 130165 | 3.3538 | 0.4070 | |
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| 3.0089 | 8.0 | 148760 | 3.3607 | 0.4076 | |
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| 2.9842 | 9.0 | 167355 | 3.3492 | 0.4094 | |
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| 2.9595 | 10.0 | 185950 | 3.3596 | 0.4097 | |
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| 2.9382 | 11.0 | 204545 | 3.3544 | 0.4101 | |
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| 2.9125 | 12.0 | 223140 | 3.3588 | 0.4107 | |
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| 2.8929 | 13.0 | 241735 | 3.3648 | 0.4109 | |
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| 2.8689 | 14.0 | 260330 | 3.3662 | 0.4110 | |
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| 2.8494 | 15.0 | 278925 | 3.3657 | 0.4116 | |
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| 2.8316 | 16.0 | 297520 | 3.3748 | 0.4114 | |
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| 2.8151 | 17.0 | 316115 | 3.3865 | 0.4114 | |
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| 2.797 | 18.0 | 334710 | 3.3825 | 0.4115 | |
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| 2.7759 | 19.0 | 353305 | 3.4028 | 0.4111 | |
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| 2.7566 | 20.0 | 371900 | 3.4044 | 0.4112 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.12.0 |
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- Tokenizers 0.14.1 |
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