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-only_indef_articles_with_pl_nouns_removal-seed_1024-1e-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-counterfactual-babylm-only_indef_articles_with_pl_nouns_removal-seed_1024-1e-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: 3.4006
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- Accuracy: 0.4110
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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: 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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| 3.6013 | 1.0 | 18600 | 3.7573 | 0.3598 |
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| 3.3813 | 2.0 | 37200 | 3.5688 | 0.3805 |
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| 3.2541 | 3.0 | 55800 | 3.4489 | 0.3922 |
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| 3.174 | 4.0 | 74400 | 3.4158 | 0.3980 |
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| 3.1166 | 5.0 | 93000 | 3.3767 | 0.4028 |
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| 3.0777 | 6.0 | 111600 | 3.3729 | 0.4036 |
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| 3.0372 | 7.0 | 130200 | 3.3464 | 0.4071 |
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| 3.0083 | 8.0 | 148800 | 3.3503 | 0.4081 |
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| 2.9762 | 9.0 | 167400 | 3.3317 | 0.4098 |
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| 2.9515 | 10.0 | 186000 | 3.3434 | 0.4088 |
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| 2.9338 | 11.0 | 204600 | 3.3526 | 0.4102 |
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| 2.9063 | 12.0 | 223200 | 3.3577 | 0.4095 |
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| 2.8871 | 13.0 | 241800 | 3.3493 | 0.4101 |
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| 2.8654 | 14.0 | 260400 | 3.3641 | 0.4106 |
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| 2.8465 | 15.0 | 279000 | 3.3597 | 0.4115 |
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| 2.8233 | 16.0 | 297600 | 3.3748 | 0.4106 |
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| 2.8071 | 17.0 | 316200 | 3.3754 | 0.4113 |
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| 2.7899 | 18.0 | 334800 | 3.3833 | 0.4111 |
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| 2.7669 | 19.0 | 353400 | 3.3913 | 0.4112 |
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| 2.7513 | 20.0 | 372000 | 3.4006 | 0.4110 |
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### Framework versions
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- Transformers 4.37.2
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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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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": "4.37.2"
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}
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model.safetensors
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size 391376736
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size 391376736
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runs/Feb12_10-52-00_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707757161.phyl-ling-p01.la.utexas.edu.3569452.0
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size
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size 71325
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