HBERTv1_48_L4_H768_A12_emotion

This model is a fine-tuned version of gokuls/HBERTv1_48_L4_H768_A12 on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 0.2888
• Accuracy: 0.9015

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: 64
• eval_batch_size: 64
• seed: 33
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7469	1.0	250	0.3713	0.883
0.296	2.0	500	0.2890	0.893
0.2249	3.0	750	0.2888	0.9015
0.1672	4.0	1000	0.3253	0.899
0.1294	5.0	1250	0.3908	0.887
0.1003	6.0	1500	0.4053	0.8965
0.0755	7.0	1750	0.4338	0.897
0.0566	8.0	2000	0.4625	0.895
0.0399	9.0	2250	0.5459	0.892
0.0293	10.0	2500	0.5511	0.8945

Framework versions

• Transformers 4.34.0
• Pytorch 1.14.0a0+410ce96
• Datasets 2.14.5
• Tokenizers 0.14.0