distilbert-base-multilingual-cased-finetuned-emotion

This model is a fine-tuned version of distilbert-base-multilingual-cased on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 0.3596
• Accuracy: 0.8895
• F1: 0.8900

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.1585	1.0	250	0.5694	0.8265	0.8191
0.4367	2.0	500	0.3596	0.8895	0.8900

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.13.3