bert-tiny-mlm-finetuned-imdb-finetuned-emotion

This model is a fine-tuned version of muhtasham/bert-tiny-mlm-finetuned-imdb on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 0.2401
• Accuracy: 0.9065
• F1: 0.9083

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: 3e-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: constant
• num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.4581	2.0	500	1.0158	0.672	0.6025
0.8545	4.0	1000	0.6368	0.842	0.8344
0.5846	6.0	1500	0.4626	0.877	0.8745
0.422	8.0	2000	0.3520	0.8925	0.8917
0.3222	10.0	2500	0.2934	0.9035	0.9039
0.2695	12.0	3000	0.2573	0.9055	0.9056
0.2247	14.0	3500	0.2396	0.9115	0.9122
0.1986	16.0	4000	0.2311	0.9155	0.9154
0.1773	18.0	4500	0.2261	0.9125	0.9136
0.1554	20.0	5000	0.2309	0.914	0.9144
0.1407	22.0	5500	0.2401	0.9065	0.9083

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2