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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: baseline-roberta_pre_layer_norm-model |
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results: [] |
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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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# baseline-roberta_pre_layer_norm-model |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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## Model description |
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Base Model Architecture: Roberta Pre-Layer Norm |
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## Training and evaluation data |
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BabyLM Dataset (CoNLL 2023 Workshop) |
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## Training procedure |
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Masked language modeling |
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### Training hyperparameters |
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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: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 32 |
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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: 100000 |
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- training_steps: 400000 |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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