metadata

license: apache-2.0
tags:
  - generated_from_trainer
base_model: bert-base-uncased
model-index:
  - name: stop_reasons_classificator_multilabel_pt_50n_1epochs
    results: []

stop_reasons_classificator_multilabel_pt_50n_1epochs

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6312
Accuracy Thresh: 0.7843

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Thresh
No log	1.0	6	0.6312	0.7843

Framework versions

Transformers 4.26.0
Pytorch 1.12.1+cu102
Datasets 2.9.0
Tokenizers 0.13.2