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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-counterfactual-babylm-indef-removal-seed_1024-1e-4 |
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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-counterfactual-babylm-indef-removal-seed_1024-1e-4 |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4350 |
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- Accuracy: 0.4063 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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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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| 4.0569 | 1.0 | 18595 | 4.2925 | 0.3078 | |
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| 3.5613 | 2.0 | 37190 | 3.7467 | 0.3633 | |
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| 3.3894 | 3.0 | 55785 | 3.5963 | 0.3802 | |
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| 3.2856 | 4.0 | 74380 | 3.5303 | 0.3880 | |
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| 3.2222 | 5.0 | 92975 | 3.4793 | 0.3935 | |
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| 3.1693 | 6.0 | 111570 | 3.4552 | 0.3967 | |
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| 3.13 | 7.0 | 130165 | 3.4350 | 0.3992 | |
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| 3.0982 | 8.0 | 148760 | 3.4201 | 0.4011 | |
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| 3.0659 | 9.0 | 167355 | 3.4224 | 0.4025 | |
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| 3.0359 | 10.0 | 185950 | 3.4172 | 0.4028 | |
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| 3.0157 | 11.0 | 204545 | 3.4154 | 0.4036 | |
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| 2.9936 | 12.0 | 223140 | 3.4075 | 0.4043 | |
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| 2.9676 | 13.0 | 241735 | 3.4182 | 0.4048 | |
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| 2.9444 | 14.0 | 260330 | 3.4119 | 0.4057 | |
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| 2.9265 | 15.0 | 278925 | 3.4089 | 0.4056 | |
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| 2.9105 | 16.0 | 297520 | 3.4230 | 0.4058 | |
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| 2.8892 | 17.0 | 316115 | 3.4260 | 0.4060 | |
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| 2.8774 | 18.0 | 334710 | 3.4290 | 0.4063 | |
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| 2.8592 | 19.0 | 353305 | 3.4288 | 0.4065 | |
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| 2.8472 | 20.0 | 371900 | 3.4350 | 0.4063 | |
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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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