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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-seed_1102 |
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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-seed_1102 |
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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: 2.4764 |
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- Accuracy: 0.4996 |
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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: 0.003 |
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- train_batch_size: 16 |
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- eval_batch_size: 128 |
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- seed: 1102 |
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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: 24000 |
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- num_epochs: 10.0 |
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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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| 3.0413 | 1.0 | 2928 | 3.0106 | 0.4380 | |
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| 2.706 | 2.0 | 5856 | 2.7757 | 0.4615 | |
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| 2.5796 | 3.0 | 8784 | 2.6893 | 0.4708 | |
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| 2.5174 | 4.0 | 11712 | 2.6343 | 0.4766 | |
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| 2.4609 | 5.0 | 14640 | 2.6072 | 0.4795 | |
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| 2.4299 | 6.0 | 17568 | 2.5857 | 0.4826 | |
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| 2.3999 | 7.0 | 20496 | 2.5639 | 0.4859 | |
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| 2.3645 | 8.0 | 23424 | 2.5553 | 0.4874 | |
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| 2.2938 | 9.0 | 26352 | 2.5049 | 0.4939 | |
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| 2.151 | 10.0 | 29280 | 2.4764 | 0.4996 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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