metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-news_sentiment-analysis
results: []
distilbert-news_sentiment-analysis
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: 0.2976
- Accuracy: 0.9264
- F1: 0.9264
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|
| 0.3239 | 1.0 | 782 | 0.2484 | 0.9178 | 0.9179 |
| 0.1759 | 2.0 | 1564 | 0.2245 | 0.9268 | 0.9267 |
| 0.1218 | 3.0 | 2346 | 0.2377 | 0.9280 | 0.9280 |
| 0.0831 | 4.0 | 3128 | 0.2778 | 0.9289 | 0.9289 |
| 0.0605 | 5.0 | 3910 | 0.2976 | 0.9264 | 0.9264 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1