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: 0.3649

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	250	0.2190
No log	2.0	500	0.2935
No log	3.0	750	0.2978
No log	4.0	1000	0.2842
No log	5.0	1250	0.3042
No log	6.0	1500	0.3383
No log	7.0	1750	0.3491
No log	8.0	2000	0.3548
No log	9.0	2250	0.3648
No log	10.0	2500	0.3649

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

arche4452/minilm-fintuned-emotion

minilm-fintuned-emotion

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

arche4452/
minilm-fintuned-emotion