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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_211-1e-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_211-1e-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: 3.4078 |
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- Accuracy: 0.4111 |
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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: 211 |
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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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| 3.6026 | 1.0 | 18595 | 3.7870 | 0.3578 | |
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| 3.3834 | 2.0 | 37190 | 3.5755 | 0.3795 | |
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| 3.2539 | 3.0 | 55785 | 3.4650 | 0.3916 | |
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| 3.1778 | 4.0 | 74380 | 3.4013 | 0.3993 | |
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| 3.1219 | 5.0 | 92975 | 3.3872 | 0.4012 | |
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| 3.0829 | 6.0 | 111570 | 3.3593 | 0.4048 | |
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| 3.0448 | 7.0 | 130165 | 3.3473 | 0.4077 | |
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| 3.0113 | 8.0 | 148760 | 3.3620 | 0.4074 | |
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| 2.9876 | 9.0 | 167355 | 3.3488 | 0.4084 | |
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| 2.961 | 10.0 | 185950 | 3.3557 | 0.4087 | |
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| 2.9378 | 11.0 | 204545 | 3.3599 | 0.4096 | |
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| 2.9178 | 12.0 | 223140 | 3.3431 | 0.4103 | |
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| 2.8924 | 13.0 | 241735 | 3.3626 | 0.4109 | |
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| 2.8737 | 14.0 | 260330 | 3.3569 | 0.4114 | |
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| 2.8492 | 15.0 | 278925 | 3.3599 | 0.4112 | |
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| 2.8356 | 16.0 | 297520 | 3.3829 | 0.4106 | |
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| 2.8162 | 17.0 | 316115 | 3.3819 | 0.4111 | |
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| 2.7966 | 18.0 | 334710 | 3.3926 | 0.4110 | |
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| 2.7802 | 19.0 | 353305 | 3.3977 | 0.4115 | |
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| 2.7617 | 20.0 | 371900 | 3.4078 | 0.4111 | |
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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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