metadata

library_name: transformers
license: mit
base_model: facebook/bart-large-mnli
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: joker-bert-classification-all-tags-model-new-structure-v1
    results: []

joker-bert-classification-all-tags-model-new-structure-v1

This model is a fine-tuned version of facebook/bart-large-mnli on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0149
Accuracy: 0.7761
F1: 0.7722

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: 2e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.3161	1.0	1187	1.1416	0.6738	0.6721
0.6894	2.0	2374	1.0403	0.7113	0.7040
0.3205	3.0	3561	0.9430	0.7526	0.7487
0.1655	4.0	4748	0.9927	0.7725	0.7676
0.0791	5.0	5935	1.0149	0.7761	0.7722

Framework versions

Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1