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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-sentence-tokenized |
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metrics: |
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- accuracy |
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model-index: |
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- name: opt-babylm2-20-epochs_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-sentence-tokenized |
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type: kanishka/babylm2-sentence-tokenized |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.5192642005255711 |
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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-babylm2-20-epochs_seed-42_3e-4 |
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This model was trained from scratch on the kanishka/babylm2-sentence-tokenized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4950 |
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- Accuracy: 0.5193 |
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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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- 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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| 2.8017 | 1.0 | 21397 | 2.9043 | 0.4674 | |
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| 2.5697 | 2.0 | 42794 | 2.6914 | 0.4903 | |
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| 2.4593 | 3.0 | 64191 | 2.5998 | 0.5009 | |
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| 2.3962 | 4.0 | 85588 | 2.5532 | 0.5062 | |
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| 2.3371 | 5.0 | 106985 | 2.5247 | 0.5100 | |
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| 2.3029 | 6.0 | 128382 | 2.5101 | 0.5121 | |
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| 2.2663 | 7.0 | 149779 | 2.4970 | 0.5143 | |
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| 2.2435 | 8.0 | 171176 | 2.4892 | 0.5155 | |
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| 2.2171 | 9.0 | 192573 | 2.4831 | 0.5163 | |
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| 2.1902 | 10.0 | 213970 | 2.4811 | 0.5171 | |
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| 2.1695 | 11.0 | 235367 | 2.4788 | 0.5177 | |
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| 2.1548 | 12.0 | 256764 | 2.4811 | 0.5182 | |
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| 2.1307 | 13.0 | 278161 | 2.4788 | 0.5186 | |
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| 2.1228 | 14.0 | 299558 | 2.4802 | 0.5188 | |
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| 2.0984 | 15.0 | 320955 | 2.4807 | 0.5190 | |
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| 2.0845 | 16.0 | 342352 | 2.4828 | 0.5192 | |
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| 2.0687 | 17.0 | 363749 | 2.4844 | 0.5193 | |
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| 2.0578 | 18.0 | 385146 | 2.4892 | 0.5193 | |
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| 2.0413 | 19.0 | 406543 | 2.4918 | 0.5193 | |
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| 2.0185 | 20.0 | 427940 | 2.4950 | 0.5193 | |
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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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