test_trainer
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
Model description
To run a sentimental analysis of tweets using the DistilBERT-base-uncased model from huggingface. The purpose is to classify tweets with a positive, negative or neutral sentiments
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
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3