tweet_sentiments_analysis_distilbert-base-uncased
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: 1.1715
- F1: 0.7180
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.7542 | 1.0 | 1000 | 0.7429 | 0.6630 |
| 0.7264 | 2.0 | 2000 | 0.7214 | 0.6782 |
| 0.6376 | 3.0 | 3000 | 0.6610 | 0.7171 |
| 0.5196 | 4.0 | 4000 | 0.7578 | 0.7291 |
| 0.4344 | 5.0 | 5000 | 0.8670 | 0.7248 |
| 0.3342 | 6.0 | 6000 | 1.0522 | 0.7223 |
| 0.2841 | 7.0 | 7000 | 1.1715 | 0.7180 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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Model tree for Junr-syl/tweet_sentiments_analysis_distilbert-base-uncased
Base model
distilbert/distilbert-base-uncased