Sentiment_tweets_distilbert
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: 0.1525
- F1: 0.9359
- Acc: 0.936
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Acc |
|---|---|---|---|---|---|
| 0.6076 | 1.0 | 500 | 0.2243 | 0.9192 | 0.9185 |
| 0.1641 | 2.0 | 1000 | 0.1684 | 0.9297 | 0.93 |
| 0.1195 | 3.0 | 1500 | 0.1525 | 0.9359 | 0.936 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for Sharpaxis/Sentiment_tweets_distilbert
Base model
distilbert/distilbert-base-uncased