This model is a fine-tuned version of distilbert-base-multilingual-cased on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.3702
Accuracy: 0.8885
F1: 0.8888

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.1646	1.0	250	0.6190	0.8085	0.7992
0.4536	2.0	500	0.3702	0.8885	0.8888

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3

Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion

distilbert-base-multilingual-cased-finetuned-emotion

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Toshifumi/
distilbert-base-multilingual-cased-finetuned-emotion