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test_2_pretrain

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test_2_pretrain

This model is a fine-tuned version of on the wikitext wikitext-2-v1 dataset. It achieves the following results on the evaluation set:

Loss: 5.1341
Accuracy: 0.2759

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

Downloads last month: 11

Safetensors

Model size

125M params

Tensor type

F32

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Dataset used to train cappuch/test_2_pretrain

Evaluation results

Accuracy on wikitext wikitext-2-v1
self-reported

0.276

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