pp_distilbert_ft_tweet_irony
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: 0.8957
- Accuracy: 0.6531
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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.72 | 50 | 0.6234 | 0.6670 |
No log | 3.45 | 100 | 0.8289 | 0.6681 |
No log | 5.17 | 150 | 1.1167 | 0.6639 |
No log | 6.9 | 200 | 1.4927 | 0.6450 |
No log | 8.62 | 250 | 1.5717 | 0.6639 |
No log | 10.34 | 300 | 1.7161 | 0.6597 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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