This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.4768
F1: 0.9033

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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.4483	1.0	250	1.1727	0.4717
1.0214	2.0	500	0.8164	0.7244
0.7448	3.0	750	0.6287	0.8541
0.5835	4.0	1000	0.5179	0.8911
0.5028	5.0	1250	0.4768	0.9033

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

acdesantana/minilm-finetuned-emotion

minilm-finetuned-emotion

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

acdesantana/
minilm-finetuned-emotion