distilbert_classificator

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the tweet_eval dataset. It achieves the following results on the evaluation set:

• Loss: 0.8627
• Accuracy: 0.7910

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: 5e-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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	408	0.6174	0.7882
0.6884	2.0	816	0.7010	0.7945
0.3202	3.0	1224	0.8627	0.7910

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2