bert_12_layer_model_v1_complete_training_new_96

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bert_12_layer_model_v1_complete_training_new_96

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_72 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3874
• Accuracy: 0.5637

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: 1e-05
• train_batch_size: 48
• eval_batch_size: 48
• seed: 10
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10000
• num_epochs: 5

Training results

Framework versions

• Transformers 4.30.1
• Pytorch 1.14.0a0+410ce96
• Datasets 2.12.0
• Tokenizers 0.13.3