Model save
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README.md
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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-new_regex_aanns_removal-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-new_regex_aanns_removal-1e-4
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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: 3.3971
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- Accuracy: 0.4081
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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: 42
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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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| 4.0555 | 1.0 | 18593 | 4.2608 | 0.3086 |
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| 3.5626 | 2.0 | 37186 | 3.7490 | 0.3634 |
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| 3.3926 | 3.0 | 55779 | 3.5729 | 0.3804 |
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| 3.2863 | 4.0 | 74372 | 3.5122 | 0.3883 |
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| 3.2223 | 5.0 | 92965 | 3.4704 | 0.3932 |
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| 3.1687 | 6.0 | 111558 | 3.4542 | 0.3960 |
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| 3.1265 | 7.0 | 130151 | 3.4307 | 0.3987 |
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| 3.0955 | 8.0 | 148744 | 3.4010 | 0.4014 |
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| 3.0614 | 9.0 | 167337 | 3.3947 | 0.4026 |
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| 3.0346 | 10.0 | 185930 | 3.3861 | 0.4037 |
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| 3.0121 | 11.0 | 204523 | 3.3788 | 0.4047 |
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| 2.9917 | 12.0 | 223116 | 3.3737 | 0.4050 |
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| 2.968 | 13.0 | 241709 | 3.3828 | 0.4055 |
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| 2.9462 | 14.0 | 260302 | 3.3921 | 0.4060 |
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| 2.9308 | 15.0 | 278895 | 3.3842 | 0.4073 |
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| 2.9096 | 16.0 | 297488 | 3.3800 | 0.4075 |
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| 2.889 | 17.0 | 316081 | 3.3850 | 0.4077 |
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| 2.8779 | 18.0 | 334674 | 3.3920 | 0.4076 |
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| 2.8585 | 19.0 | 353267 | 3.3898 | 0.4084 |
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| 2.8469 | 20.0 | 371860 | 3.3971 | 0.4081 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.40.1"
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}
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model.safetensors
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size 391376736
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runs/Jun03_08-00-54_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1717419695.phyl-ling-p01.la.utexas.edu.121470.0
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size 91732
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