distiled_flip_model_emotion_alpha_0.8_v1

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

• Loss: 0.1615
• Accuracy: 0.9425

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1921	1.0	2000	0.2402	0.933
0.129	2.0	4000	0.1789	0.94
0.0869	3.0	6000	0.1615	0.9425

Framework versions

• Transformers 4.23.1
• Pytorch 1.11.0
• Datasets 2.6.1
• Tokenizers 0.12.1