windshield-viper/discord-twitter-distilbert-updated

my_awesome_model

This model is a fine-tuned version of windshield-viper/discord-distilbert on the carblacac/twitter-sentiment-analysis dataset. It achieves the following results on the evaluation set:

• Loss: 0.3720
• Accuracy: 0.8439

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: 32
• eval_batch_size: 32
• 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
0.3722	1.0	3750	0.3686	0.8370
0.2884	2.0	7500	0.3720	0.8439

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.2