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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-only_other_det_removal-3e-4
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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-only_other_det_removal-3e-4
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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: 3.4419
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+ - Accuracy: 0.4081
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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: 0.0003
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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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+
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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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+ | 3.7368 | 1.0 | 18597 | 3.9162 | 0.3452 |
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+ | 3.4348 | 2.0 | 37194 | 3.6327 | 0.3748 |
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+ | 3.2919 | 3.0 | 55791 | 3.5084 | 0.3900 |
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+ | 3.2086 | 4.0 | 74388 | 3.4502 | 0.3956 |
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+ | 3.1474 | 5.0 | 92985 | 3.4235 | 0.3995 |
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+ | 3.1012 | 6.0 | 111582 | 3.4031 | 0.4020 |
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+ | 3.0638 | 7.0 | 130179 | 3.4128 | 0.4030 |
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+ | 3.0262 | 8.0 | 148776 | 3.3998 | 0.4046 |
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+ | 3.0016 | 9.0 | 167373 | 3.3731 | 0.4070 |
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+ | 2.9715 | 10.0 | 185970 | 3.4058 | 0.4062 |
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+ | 2.9481 | 11.0 | 204567 | 3.3875 | 0.4069 |
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+ | 2.9243 | 12.0 | 223164 | 3.4070 | 0.4070 |
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+ | 2.9047 | 13.0 | 241761 | 3.4015 | 0.4079 |
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+ | 2.8797 | 14.0 | 260358 | 3.4114 | 0.4077 |
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+ | 2.8651 | 15.0 | 278955 | 3.4072 | 0.4083 |
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+ | 2.8434 | 16.0 | 297552 | 3.4240 | 0.4075 |
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+ | 2.8255 | 17.0 | 316149 | 3.4179 | 0.4083 |
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+ | 2.8036 | 18.0 | 334746 | 3.4256 | 0.4082 |
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+ | 2.7888 | 19.0 | 353343 | 3.4363 | 0.4083 |
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+ | 2.7701 | 20.0 | 371940 | 3.4419 | 0.4081 |
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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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+ "transformers_version": "4.37.2"
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