gokuls/hBERTv2_new_pretrain_w_init_48_sst2

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hBERTv2newpretrainwinit48sst2

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_48 on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3998
• —Accuracy: 0.8268

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: 4e-05
• —trainbatchsize: 128
• —evalbatchsize: 128
• —seed: 10
• —distributed_type: multi-GPU
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 50

Training results

Framework versions

• —Transformers 4.29.2
• —Pytorch 1.14.0a0+410ce96
• —Datasets 2.12.0
• —Tokenizers 0.13.3