bert_distillation_tiny

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4804
Model Preparation Time: 0.0009
Accuracy: 0.8303

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: 0.0001
train_batch_size: 128
eval_batch_size: 128
seed: 2023
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Accuracy
0.4157	1.0	527	0.4127	0.0009	0.8131
0.2693	2.0	1054	0.4429	0.0009	0.8211
0.2189	3.0	1581	0.4804	0.0009	0.8303
0.1907	4.0	2108	0.4995	0.0009	0.8200
0.1712	5.0	2635	0.5311	0.0009	0.8165
0.1597	6.0	3162	0.5561	0.0009	0.8131
0.1536	7.0	3689	0.5604	0.0009	0.8142

Framework versions

Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

Loading…

rsl-ai/bert_distillation_tiny

bert_distillation_tiny

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bert_distillation_tiny

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions