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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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datasets: |
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- kanishka/babylm2-rewritten-clean-spacy |
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metrics: |
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- accuracy |
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model-index: |
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- name: opt-babylm2-rewritten-clean-spacy-32k-earlystop-40epochs_seed-42_3e-4 |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: kanishka/babylm2-rewritten-clean-spacy |
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type: kanishka/babylm2-rewritten-clean-spacy |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.4202126468521879 |
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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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# opt-babylm2-rewritten-clean-spacy-32k-earlystop-40epochs_seed-42_3e-4 |
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This model was trained from scratch on the kanishka/babylm2-rewritten-clean-spacy dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9892 |
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- Accuracy: 0.4202 |
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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: 0.0003 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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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: 40.0 |
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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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| 6.8783 | 0.9996 | 1931 | 4.4654 | 0.2891 | |
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| 4.2263 | 1.9997 | 3863 | 3.9179 | 0.3337 | |
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| 3.7724 | 2.9999 | 5795 | 3.6397 | 0.3562 | |
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| 3.5091 | 4.0 | 7727 | 3.4569 | 0.3724 | |
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| 3.3306 | 4.9996 | 9658 | 3.3310 | 0.3838 | |
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| 3.2012 | 5.9997 | 11590 | 3.2469 | 0.3918 | |
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| 3.1088 | 6.9999 | 13522 | 3.1828 | 0.3982 | |
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| 3.0364 | 8.0 | 15454 | 3.1404 | 0.4023 | |
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| 2.9837 | 8.9996 | 17385 | 3.1080 | 0.4057 | |
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| 2.9377 | 9.9997 | 19317 | 3.0840 | 0.4077 | |
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| 2.9019 | 10.9999 | 21249 | 3.0633 | 0.4101 | |
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| 2.8713 | 12.0 | 23181 | 3.0505 | 0.4117 | |
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| 2.8449 | 12.9996 | 25112 | 3.0376 | 0.4130 | |
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| 2.8231 | 13.9997 | 27044 | 3.0270 | 0.4143 | |
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| 2.7828 | 14.9999 | 28976 | 3.0222 | 0.4150 | |
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| 2.7644 | 16.0 | 30908 | 3.0160 | 0.4156 | |
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| 2.7508 | 16.9996 | 32839 | 3.0100 | 0.4167 | |
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| 2.7296 | 17.9997 | 34771 | 3.0023 | 0.4178 | |
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| 2.7053 | 18.9999 | 36703 | 2.9967 | 0.4188 | |
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| 2.6821 | 20.0 | 38635 | 2.9926 | 0.4195 | |
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| 2.6601 | 20.9996 | 40566 | 2.9892 | 0.4202 | |
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| 2.6406 | 21.9997 | 42498 | 2.9898 | 0.4204 | |
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| 2.621 | 22.9999 | 44430 | 2.9921 | 0.4205 | |
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| 2.6048 | 24.0 | 46362 | 2.9928 | 0.4207 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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