bert-distilled-twitter-sent140_dataset_hp_optimized_final

This model is a fine-tuned version of ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7526
• Accuracy: 0.7701

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: 1.0252171333853176e-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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5666	1.0	408	0.7110	0.7647
0.501	2.0	816	0.7382	0.7567
0.5199	3.0	1224	0.7562	0.7674
0.4972	4.0	1632	0.7502	0.7647
0.4498	5.0	2040	0.7526	0.7701

Framework versions

• Transformers 4.25.1
• Pytorch 1.11.0
• Datasets 2.7.1
• Tokenizers 0.12.1