---
tags:
- generated_from_trainer
model-index:
- name: baseline-roberta_pre_layer_norm-model
  results: []
license: mit
datasets:
- cambridge-climb/BabyLM
language:
- en
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# baseline-roberta_pre_layer_norm-model

## Model description

Base Model Architecture: Roberta Pre-Layer Norm 

## Training and evaluation data

BabyLM Dataset (CoNLL 2023 Workshop)

## Training procedure

Masked language modeling 

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100000
- training_steps: 400000


### Framework versions

- Transformers 4.26.1
- Pytorch 1.12.0+cu113
- Datasets 2.10.0
- Tokenizers 0.13.2