GItaf/bert-base-uncased-bert-base-uncased-mc-weight0.25-epoch15

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bert-base-uncased-bert-base-uncased-mc-weight0.25-epoch15

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 5.1343
• —Cls loss: 3.0991
• —Lm loss: 4.3588
• —Cls Accuracy: 0.6092
• —Cls F1: 0.6066
• —Cls Precision: 0.6082
• —Cls Recall: 0.6092
• —Perplexity: 78.17

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: 2e-05
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 15

Training results

Framework versions

• —Transformers 4.21.2
• —Pytorch 1.12.1
• —Datasets 2.4.0
• —Tokenizers 0.12.1