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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_211-1e-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_211-1e-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: 3.4163 |
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- Accuracy: 0.4076 |
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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: 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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| 4.0497 | 1.0 | 18595 | 4.2852 | 0.3080 | |
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| 3.565 | 2.0 | 37190 | 3.7283 | 0.3633 | |
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| 3.3896 | 3.0 | 55785 | 3.5917 | 0.3804 | |
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| 3.2893 | 4.0 | 74380 | 3.5098 | 0.3893 | |
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| 3.2194 | 5.0 | 92975 | 3.4496 | 0.3948 | |
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| 3.1724 | 6.0 | 111570 | 3.4233 | 0.3982 | |
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| 3.1258 | 7.0 | 130165 | 3.4181 | 0.4005 | |
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| 3.0958 | 8.0 | 148760 | 3.4253 | 0.4011 | |
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| 3.0662 | 9.0 | 167355 | 3.4222 | 0.4023 | |
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| 3.0368 | 10.0 | 185950 | 3.4052 | 0.4037 | |
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| 3.0083 | 11.0 | 204545 | 3.3978 | 0.4047 | |
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| 2.9889 | 12.0 | 223140 | 3.3996 | 0.4056 | |
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| 2.9622 | 13.0 | 241735 | 3.3896 | 0.4065 | |
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| 2.9419 | 14.0 | 260330 | 3.3847 | 0.4072 | |
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| 2.9292 | 15.0 | 278925 | 3.4022 | 0.4065 | |
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| 2.9096 | 16.0 | 297520 | 3.4086 | 0.4071 | |
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| 2.893 | 17.0 | 316115 | 3.4042 | 0.4074 | |
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| 2.872 | 18.0 | 334710 | 3.4126 | 0.4074 | |
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| 2.8563 | 19.0 | 353305 | 3.4111 | 0.4076 | |
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| 2.8424 | 20.0 | 371900 | 3.4163 | 0.4076 | |
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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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