finetuned_sentence_itr0_2e-05_webDiscourse_27_02_2022-19_22_29

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5819
• Accuracy: 0.7058
• F1: 0.4267

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	48	0.6110	0.665	0.0
No log	2.0	96	0.5706	0.685	0.2588
No log	3.0	144	0.5484	0.725	0.5299
No log	4.0	192	0.5585	0.71	0.4727
No log	5.0	240	0.5616	0.725	0.5133

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.1+cu113
• Datasets 1.18.0
• Tokenizers 0.10.3