This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.7802
Accuracy: 0.739
F1: 0.6915

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
1.2866	1.0	250	0.9490	0.693	0.6275
0.8726	2.0	500	0.7802	0.739	0.6915

Framework versions

Transformers 4.41.1
Pytorch 2.3.1
Datasets 2.19.1
Tokenizers 0.19.1

aftabnaveed/all-MiniLM-L6-v2-finetuned-emotion

all-MiniLM-L6-v2-finetuned-emotion

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aftabnaveed/
all-MiniLM-L6-v2-finetuned-emotion