distilbert-base-uncased-finetuned-sst2

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6628
• Accuracy: 0.81

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	7	0.6904	0.54
No log	2.0	14	0.6849	0.68
No log	3.0	21	0.6748	0.75
No log	4.0	28	0.6628	0.81
No log	5.0	35	0.6574	0.78

Framework versions

• Transformers 4.39.3
• Pytorch 2.3.0
• Datasets 2.19.0
• Tokenizers 0.15.2