gokulsrinivasagan/bert_train_book_ent_15p_mid

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berttrainbookent15p_mid

This model is a fine-tuned version of distilbert-base-uncased on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld dataset. It achieves the following results on the evaluation set:

• —Loss: 7.1271
• —Accuracy: 0.0599

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: 160
• —evalbatchsize: 160
• —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 4.51.2
• —Pytorch 2.6.0+cu126
• —Datasets 3.5.0
• —Tokenizers 0.21.1