metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: DBERT_tweet_tuned
results: []
DBERT_tweet_tuned
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: 0.8696
- Accuracy: 0.6735
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: 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 |
|---|---|---|---|---|
| No log | 0.56 | 100 | 0.6726 | 0.5885 |
| No log | 1.12 | 200 | 0.7482 | 0.6785 |
| No log | 1.68 | 300 | 0.7147 | 0.6743 |
| No log | 2.23 | 400 | 0.8444 | 0.6775 |
| 0.4473 | 2.79 | 500 | 0.8387 | 0.6869 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2