metadata

license: cc-by-4.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
base_model: NbAiLab/nb-bert-base
model-index:
  - name: nb-bert-base-target-group
    results: []

nb-bert-base-target-group

This model is a fine-tuned version of NbAiLab/nb-bert-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2820
Accuracy: 0.8822

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: 3e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2779	1.0	2032	0.2820	0.8822

Framework versions

Transformers 4.17.0
Pytorch 1.10.2+cu113
Datasets 1.18.4
Tokenizers 0.12.1