bert_12_layer_model_v2_complete_training_new_wt_init_120

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

bert_12_layer_model_v2_complete_training_new_wt_init_120

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_96 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3044
• Accuracy: 0.5675

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