Hartunka/distilbert_rand_100_v2

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distilbertrand100_v2

This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processedwikitext-103-raw-v1-rand-100v2 dataset. It achieves the following results on the evaluation set:

• —Loss: 10.8332
• —Accuracy: 0.1535

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: 0.0001
• —trainbatchsize: 96
• —evalbatchsize: 96
• —seed: 10
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 10000
• —num_epochs: 25

Training results

Framework versions

• —Transformers 4.50.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.21.1