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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- kanishka/babylm2-subset |
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metrics: |
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- accuracy |
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model-index: |
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- name: cria-babylm2-subset-default-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-subset |
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type: kanishka/babylm2-subset |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.5183717396220663 |
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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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# cria-babylm2-subset-default-3e-4 |
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This model was trained from scratch on the kanishka/babylm2-subset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6186 |
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- Accuracy: 0.5184 |
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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: 10.0 |
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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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| 2.5065 | 1.0 | 14142 | 2.7266 | 0.4912 | |
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| 2.3323 | 2.0 | 28284 | 2.5642 | 0.5074 | |
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| 2.2158 | 3.0 | 42426 | 2.4670 | 0.5184 | |
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| 2.1109 | 4.0 | 56568 | 2.4178 | 0.5249 | |
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| 2.0194 | 5.0 | 70710 | 2.4001 | 0.5280 | |
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| 1.938 | 6.0 | 84852 | 2.4067 | 0.5291 | |
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| 1.8569 | 7.0 | 98994 | 2.4313 | 0.5283 | |
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| 1.7668 | 8.0 | 113136 | 2.4766 | 0.5260 | |
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| 1.6733 | 9.0 | 127278 | 2.5417 | 0.5229 | |
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| 1.579 | 10.0 | 141420 | 2.6186 | 0.5184 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.19.1 |
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