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: 1.2428

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	125	1.5836
No log	2.0	250	1.3238
No log	3.0	375	1.2428

Framework versions

Transformers 4.38.2
Pytorch 2.4.0.dev20240317
Datasets 2.18.0
Tokenizers 0.15.2

eddyjin/emotion-guesser2

emotion-guesser2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

eddyjin/
emotion-guesser2