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smolm-autoreg-bpe-counterfactual-babylm-pipps-random_removal-seed_211-1e-3

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  1. README.md +79 -0
  2. generation_config.json +7 -0
  3. model.safetensors +1 -1
  4. runs/Feb18_17-40-04_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1708299638.phyl-ling-p01.la.utexas.edu.4114048.0 +2 -2
  5. runs/Feb18_22-02-10_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1708315684.phyl-ling-p01.la.utexas.edu.4148918.0 +2 -2
  6. training_args.bin +1 -1
README.md ADDED
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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-pipps-random_removal-seed_211-1e-3
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+ results: []
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+ ---
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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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+
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+ # smolm-autoreg-bpe-counterfactual-babylm-pipps-random_removal-seed_211-1e-3
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+
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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: 3.4120
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+ - Accuracy: 0.4099
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:------:|:---------------:|:--------:|
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+ | 3.6072 | 1.0 | 18592 | 3.7972 | 0.3577 |
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+ | 3.3863 | 2.0 | 37184 | 3.5804 | 0.3804 |
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+ | 3.2556 | 3.0 | 55776 | 3.4730 | 0.3910 |
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+ | 3.1829 | 4.0 | 74368 | 3.4019 | 0.3992 |
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+ | 3.1264 | 5.0 | 92960 | 3.3828 | 0.4020 |
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+ | 3.0827 | 6.0 | 111552 | 3.3849 | 0.4031 |
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+ | 3.0461 | 7.0 | 130144 | 3.3728 | 0.4050 |
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+ | 3.0111 | 8.0 | 148736 | 3.3609 | 0.4069 |
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+ | 2.9857 | 9.0 | 167328 | 3.3496 | 0.4082 |
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+ | 2.9608 | 10.0 | 185920 | 3.3683 | 0.4075 |
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+ | 2.9402 | 11.0 | 204512 | 3.3728 | 0.4086 |
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+ | 2.9154 | 12.0 | 223104 | 3.3845 | 0.4083 |
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+ | 2.891 | 13.0 | 241696 | 3.3741 | 0.4098 |
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+ | 2.8754 | 14.0 | 260288 | 3.3674 | 0.4106 |
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+ | 2.8555 | 15.0 | 278880 | 3.3868 | 0.4095 |
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+ | 2.8368 | 16.0 | 297472 | 3.3892 | 0.4098 |
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+ | 2.8185 | 17.0 | 316064 | 3.3865 | 0.4106 |
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+ | 2.7969 | 18.0 | 334656 | 3.4006 | 0.4099 |
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+ | 2.7805 | 19.0 | 353248 | 3.3997 | 0.4104 |
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+ | 2.7623 | 20.0 | 371840 | 3.4120 | 0.4099 |
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+
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+
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+ ### Framework versions
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+
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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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+ "_from_model_config": true,
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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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