metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-stock-tweet-sentiment-analysis
results: []
distilbert-stock-tweet-sentiment-analysis
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6242
- Accuracy: 0.7762
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6829 | 1.0 | 1000 | 0.5767 | 0.7632 |
| 0.4733 | 2.0 | 2000 | 0.5843 | 0.7705 |
| 0.3545 | 3.0 | 3000 | 0.6242 | 0.7762 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1