gokuls/sa_bert_12_layer_model_complete_training_new

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sabert12layermodelcompletetraining_new

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: 7.4351
• —Accuracy: 0.0442

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: 0.001
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 10
• —distributed_type: multi-GPU
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 10000
• —num_epochs: 5

Training results

Framework versions

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