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finetuning-emotion-model

This model is a fine-tuned version of distilbert-base-uncased and clip-vit-base-patch32 on the emotion dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

##Labels 0 - sadness 1 - joy 2 - love 3 - anger 4 - fear 5 - surprise

Training procedure

##Training Results Epoch Training Loss Validation Loss Accuracy F1 1 No log 0.210356 0.927500 0.927196 2 0.230100 0.207957 0.930500 0.930676

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: 2

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3